API Management

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Azure API Management Your Auth Gateway For MCP Servers
The Model Context Protocol (MCP) is quickly becoming the standard for integrating Tools 🛠️ with Agents 🤖 and Azure API Management is at the fore-front, ready to support this open-source protocol 🚀. You may have already encountered discussions about MCP, so let's clarify some key concepts: Model Context Protocol (MCP) is a standardized way, (a protocol), for AI models to interact with external tools, (and either read data or perform actions) and to enrich context for ANY language models. AI Agents/Assistants are autonomous LLM-powered applications with the ability to use tools to connect to external services required to accomplish tasks on behalf of users. Tools are components made available to Agents allowing them to interact with external systems, perform computation, and take actions to achieve specific goals. Azure API Management: As a platform-as-a-service, API Management supports the complete API lifecycle, enabling organizations to create, publish, secure, and analyze APIs with built-in governance, security, analytics, and scalability. New Cool Kid in Town - MCP AI Agents are becoming widely adopted due to enhanced Large Language Model (LLM) capabilities. However, even the most advanced models face limitations due to their isolation from external data. Each new data source requires custom implementations to extract, prepare, and make data accessible for any model(s). - A lot of heavy lifting. Anthropic developed an open-source standard - the Model Context Protocol (MCP), to connect your agents to external data sources such as local data sources (databases or computer files) or remote services (systems available over the internet through e.g. APIs). MCP Hosts: LLM applications such as chat apps or AI assistant in your IDEs (like GitHub Copilot in VS Code) that need to access external capabilities MCP Clients: Protocol clients that maintain 1:1 connections with servers, inside the host application MCP Servers: Lightweight programs that each expose specific capabilities and provide context, tools, and prompts to clients MCP Protocol: Transport layer in the middle At its core, MCP follows a client-server architecture where a host application can connect to multiple servers. Whenever your MCP host or client needs a tool, it is going to connect to the MCP server. The MCP server will then connect to for example a database or an API. MCP hosts and servers will connect with each other through the MCP protocol. You can create your own custom MCP Servers that connect to your or organizational data sources. For a quick start, please visit our GitHub repository to learn how to build a remote MCP server using Azure Functions without authentication: https://aka.ms/mcp-remote Remote vs. Local MCP Servers The MCP standard supports two modes of operation: Remote MCP servers: MCP clients connect to MCP servers over the Internet, establishing a connection using HTTP and Server-Sent Events (SSE), and authorizing the MCP client access to resources on the user's account using OAuth. Local MCP servers: MCP clients connect to MCP servers on the same machine, using stdio as a local transport method. Azure API Management as the AI Auth Gateway Now that we have learned that MCP servers can connect to remote services through an API. The question now rises, how can we expose our remote MCP servers in a secure and scalable way? This is where Azure API Management comes in. A way that we can securely and safely expose tools as MCP servers. Azure API Management provides: Security: AI agents often need to access sensitive data. API Management as a remote MCP proxy safeguards organizational data through authentication and authorization. Scalability: As the number of LLM interactions and external tool integrations grows, API Management ensures the system can handle the load. Security remains to be a critical piece of building MCP servers, as agents will need to securely connect to protected endpoints (tools) to perform certain actions or read protected data. When building remote MCP servers, you need a way to allow users to login (Authenticate) and allow them to grant the MCP client access to resources on their account (Authorization). MCP - Current Authorization Challenges State: 4/10/2025 Recent changes in MCP authorization have sparked significant debate within the community. 🔍 𝗞𝗲𝘆 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 with the Authorization Changes: The MCP server is now treated as both a resource server AND an authorization server. This dual role has fundamental implications for MCP server developers and runtime operations. 💡 𝗢𝘂𝗿 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: To address these challenges, we recommend using 𝗔𝘇𝘂𝗿𝗲 𝗔𝗣𝗜 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 as your authorization gateway for remote MCP servers. 🔗For an enterprise-ready solution, please check out our azd up sample repo to learn how to build a remote MCP server using Azure API Management as your authentication gateway: https://aka.ms/mcp-remote-apim-auth The Authorization Flow The workflow involves three core components: the MCP client, the APIM Gateway, and the MCP server, with Microsoft Entra managing authentication (AuthN) and authorization (AuthZ). Using the OAuth protocol, the client starts by calling the APIM Gateway, which redirects the user to Entra for login and consent. Once authenticated, Entra provides an access token to the Gateway, which then exchanges a code with the client to generate an MCP server token. This token allows the client to communicate securely with the server via the Gateway, ensuring user validation and scope verification. Finally, the MCP server establishes a session key for ongoing communication through a dedicated message endpoint. Diagram source: https://aka.ms/mcp-remote-apim-auth-diagram Conclusion Azure API Management (APIM) is an essential tool for enterprise customers looking to integrate AI models with external tools using the Model Context Protocol (MCP). In this blog, we've emphasized the simplicity of connecting AI agents to various data sources through MCP, streamlining previously complex implementations. Given the critical role of secure access to platforms and services for AI agents, APIM offers robust solutions for managing OAuth tokens and ensuring secure access to protected endpoints, making it an invaluable asset for enterprises, despite the challenges of authentication. API Management: An Enterprise Solution for Securing MCP Servers Azure API Management is an essential tool for enterprise customers looking to integrate AI models with external tools using the Model Context Protocol (MCP). It is designed to help you to securely expose your remote MCP servers. MCP servers are still very new, and as the technology evolves, API Management provides an enterprise-ready solution that will evolve with the latest technology. Stay tuned for further feature announcements soon! Acknowledgments This post and work was made possible thanks to the hard work and dedication of our incredible team. Special thanks to Pranami Jhawar, Julia Kasper, Julia Muiruri, Annaji Sharma Ganti Jack Pa, Chaoyi Yuan and Alex Vieira for their invaluable contributions. Additional Resources MCP Client Server integration with APIM as AI gateway Blog Post: https://aka.ms/remote-mcp-apim-auth-blog Sequence Diagram: https://aka.ms/mcp-remote-apim-auth-diagram APIM lab: https://aka.ms/ai-gateway-lab-mcp-client-auth Python: https://aka.ms/mcp-remote-apim-auth .NET: https://aka.ms/mcp-remote-apim-auth-dotnet On-Behalf-Of Authorization: https://aka.ms/mcp-obo-sample 3rd Party APIs – Backend Auth via Credential Manager: Blog Post: https://aka.ms/remote-mcp-apim-lab-blog APIM lab: https://aka.ms/ai-gateway-lab-mcp YouTube Video: https://aka.ms/ai-gateway-lab-demo
PranamiJ
Jul 08, 2025 Place Azure Integration Services Blog
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Logic Apps Aviators Newsletter - July 25
In this issue: Ace Aviator of the Month News from our product group News from our community Ace Aviator of the Month July’s Ace Aviator: Şahin Özdemir What's your role and title? What are your responsibilities? I currently work for Rubicon Cloud Advisor, a Dutch company specialized in digital transformations, cloud adoption and AI implementation. At Rubicon I fulfil the role of Application and Integration architect, while also being a Professional Scrum Trainer at Scrum.org. Even though this sounds like two completely different roles, in practice both go closely hand in hand. I firmly believe that good architecture, a strong development process, and application of best practices are key pillars for delivering high-quality solutions to my clients. Therefore, both roles come in handy in my day-to-day job (combined with my strong background in software development).\ I work closely with companies and their teams in making their journey to Azure - especially Azure Integration Services - successful. Most of the time this journey starts with a business need or challenge, and I work with my clients to get a deeper understanding of their needs. This results in further analysis, capturing requirements, defining architecture, solution design, setting the stage for development (ALM) and being involved in quality assurance. At the same time, I think it’s important to stay relevant from a technical perspective. That’s why I also like being involved with implementing the solution. This way, I hear the technical struggles teams face and I can help them to find the right solution. Can you give us some insights into your day-to-day activities and what a typical day in your role looks like? Not a single day is the same, although there are some recurring activities. Specific parts of my day (or sprint) are dedicated to Scrum-related activities - whether it's participating in the daily scrum, having sprint reviews with stakeholders, planning the next sprint, or refining the backlog with the team or just aligning with the PO or stakeholders. I’m frequently involved in cross-organizational meetings focused on projects at scale. I contribute from the perspective of architecture, technical expertise, and integration strategy. In my role as a solution architect, I'm engaged in designing and implementing a critical integration platform for my client. This platform connects and exchanges data between many internal departments and external vendors - an effort that requires frequent alignment and collaboration. I’m always looking for opportunities to expand our Hybrid Integration Platform itself. Exploring how Azure resources may add value to our platform and working closely with the team to realize such improvements to the platform’s capabilities is something I enjoy. Outside of the regular meetings, I often focus on designing new integrations. Having working sessions with stakeholders to understand what they want. Based on these discussions, I assess the technical and architectural aspects of the solution. Every integration that lands on the platform is measured against both architectural and development principles and guidelines. I contribute to reviewing the solutions that have been developed. Ensuring that each integration is high-quality, consistent, easy to understand, and maintainable. I support the platform team with, and whenever possible. And if time permits, I develop parts of the solution myself – I see this as a great way to stay relevant from a technological perspective. All the spare time I have, I spend on writing technical articles that may help others. What motivates and inspires you to be an active member of the Aviators/Microsoft community? Because I enjoy helping others. Every day I work with a team of smart professionals on integration solutions and custom code within the Azure platform. Along the way, we regularly encounter challenges, limitations, or issues. In those moments, it's incredibly helpful to find solutions online or to have a community that can think along with you. Over the past few years, there have been many occasions where I just couldn’t find a solution online for a technical problem with Logic Apps. In these cases, we either came up with a creative solution ourselves or received support from Microsoft. When the integration community faces a similar challenge, it’s pretty much wasteful to tackle the same hurdles again. By documenting an approach or solution, others may be saving their invaluable time looking for a solution. Looking back, what advice do you wish you had been given earlier that you'd now share with those looking to get into STEM/technology? It is ok that you don’t know everything. Just start doing, experiment, stay curious, challenge yourself, don’t be afraid to ask questions, fail, learn and keep going! What has helped you grow professionally? I have spent a fair amount of my career at a big consulting firm. I started off as a software engineer all the way up to senior manager and architect. A long journey like that gives great and well-dosed opportunities and learning experiences to focus on your technical (in-depth) skillset first, continued by working on you soft skills like consulting, guiding and leading teams, solutioning and architecture. If I had not followed this path at that company, I would not be the person I am now professionally. Be ok with the fact that growth doesn’t happen overnight -no shortcuts, no magic pills. It's like a good red wine that needs time to mature. So do many challenging projects, become all-round and then choose a specialization, ask for constructive feedback, fail many times and take your time to reflect and learn. And don’t forget to have a strong work ethic and ongoing curiosity to learn new things. In the end I found that - from a technological perspective-, quality attributes (the “-illities”), enterprise application integration and scrum made my heart skip a beat. So my advice is to always pursue what brings you joy! If you had a magic wand that could create a feature in Logic Apps, what would it be and why? Overall, I must say that I’m happy with the current state of Logic Apps. Nevertheless, if I had a magic wand: I would like to see that the service plans for Logic App standard would be in line with Function Apps. The plans for Function apps have way better tiers from both memory, cores and pricing perspective. And being able to scale out and in based on specific metrics is more flexible than Logic App Standard currently offers. Having more CPU/memory available in the plans would also improve the overall performance of Logic Apps in general, even though performance optimizations of many actions would also be more than welcome. What I currently really miss in the HTTP connector (and possibly others) is the ability to have better control over the request timeouts. Even though the setting is there, it is capped to 4 minutes max. In practice, we need to deliver data to external APIs that work synchronously and take more time to complete. Giving better control on these timeouts would make the usability of workflows even better! Even though some nice additions to the initialization of variables have been made recently, I would like to see the ability to initialize variables at any point in the workflow. E.g. the foreach loop can be executed in parallel, and therefore the current global variables are not thread-safe, which leads to unexpected behavior. News from our product group Logic Apps Live June 2025 Missed Logic Apps Live in June? You can watch it here. We focused on the Logic Apps big announcements from Integrate 2025. There are a lot of great things to check! Feedback Opportunity: SRE Agent + Logic Apps Discover the new Applications feature in Azure API Management, enabling OAuth-based access to APIs and products. Streamline secure API access with built-in OAuth 2.0 application-based authorization. Configure SQL Storage for Standard Logic Apps Azure Logic Apps traditionally rely on Azure Storage to manage workflow states and runtime data. However, with the introduction of SQL as a storage provider (currently in preview), developers now have a compelling alternative that offers greater control, flexibility, and integration with existing SQL infrastructure. This post explores the benefits, configuration steps, and considerations for using SQL storage with Standard Logic Apps. Announcing General Availability: Azure Logic Apps Standard Automated Test Framework We’re excited to announce the General Availability (GA) of the Azure Logic Apps Standard Automated Test Framework—a major step forward in enabling developers to build, test, and maintain enterprise-grade workflows with confidence and agility. Announcing General Availability: Azure Logic Apps Standard Custom Code with .NET 8 We’re excited to announce the General Availability (GA) of Custom Code support in Azure Logic Apps Standard with .NET 8. This release marks a significant step forward in enabling developers to build more powerful, flexible, and maintainable integration workflows using familiar .NET tools and practices. With this capability, developers can now embed custom .NET 8 code directly within their Logic Apps Standard workflows. This unlocks advanced logic scenarios, promotes code reuse, and allows seamless integration with existing .NET libraries and services—making it easier than ever to build enterprise-grade solutions on Azure. Business Process Tracking Reaches General Availability Business Process Tracking provides key insights to business stakeholders from your Logic Apps (Standard) implementation in an efficient and timely manner. Today, we are pleased to announce the General Availability of this capability, allowing customers to leverage in their production workloads. Announcement: General Availability of Logic Apps Hybrid Deployment Model We’re excited to announce the Public Preview of two major integrations that bring the power of Azure Logic Apps to AI Agents in Foundry – Logic Apps as Tools and AI Agent Service Connector. Learn more on our announcement post! Announcing Public Preview: Organizational Templates in Azure Logic Apps We’re excited to announce the Public Preview of Organizational Templates in Azure Logic Apps— empowering teams to author, share, and reuse automation patterns across their organization. With this release, we’re also rolling out a brand-new UI experience to easily create templates directly from your workflows—no manual packaging required! OpenTelemetry in Azure Logic Apps (Standard and Hybrid) OpenTelemetry provides a unified, vendor-agnostic framework for collecting telemetry data—logs, metrics, and traces—across different services and infrastructure layers. It simplifies monitoring and makes it easier to integrate with a variety of observability backends such as Azure Monitor, Grafana Tempo, Jaeger, and others. For Logic Apps—especially when deployed in hybrid or on-premises scenarios—OpenTelemetry is a powerful addition that elevates diagnostic capabilities beyond the default Application Insights telemetry. Logic App Standard - When High Memory / CPU usage strikes and what to do Monitoring your applications is essential, as it ensures that you know what's happening and you are not caught by surprise when something happens. One possible event is the performance of your application starting to decrease and processing becomes slower than usual. This may happen due to various reasons, and in this blog post, we will be discussing the High Memory and CPU usage and why it affects your Logic App. We will also observe some possibilities that we've seen that have been deemed as the root cause for some customers. Introducing Agent in a Day Agent in a Day represents a fantastic opportunity for customers to participate in hackathon-style contests where attendees learn how to build agents and then can apply them to their unique business use cases. For Partners, Agent in a Day represents a great way to engage your customers by building agents with them and uncovering new use cases. Introducing Confluent Kafka Connector (Public Preview) We are pleased to announce the introduction of the Confluent Kafka Connector in Logic Apps (Standard) which allows you to both send and receive messages between Logic Apps and Confluent Kafka. Confluent Kafka is a distributed streaming platform for building real-time data pipelines and streaming applications. It is used across many industries including financial services, Omnichannel retail, autonomous cars, fraud detection services, microservices and IoT deployments. Our current connector offering supports both triggers (receive) and sending (publish) within Logic Apps. News from our community Logic App Standard: Throw exceptions like a pro! Post by Şahin Özdemir Learn how to throw exceptions in Logic App Standard using a simple Compose action—no code needed, just clever workflow design. Azure Logic Apps: are you handling large blobs? Keep memory usage under control. Post by Stefano Demiliani Struggling with large blob files in Logic Apps? Learn how to keep memory usage under control and avoid out-of-memory errors with smart workflow design and a few performance-boosting tricks De SOAPing Services SOAP to REST using Azure API Management Video by Stephen W Thomas Struggling with legacy SOAP integrations from BizTalk to Azure? Check out this video on simplifying SOAP-to-REST conversions using Azure API Management and learn how easily you can manage SOAP envelopes and streamline your Logic Apps integrations! Integrating Entra ID and AI Agent workflows in Azure Logic Apps Post by Brian Veldman Discover how to build AI-powered workflows in Azure Logic Apps that interact with Entra ID, automate tasks, and adapt dynamically using agentic tools and OpenAI models. Advanced KQL Queries for Logic Apps in Application Insights: A Practical Guide Post by Dieter Gobeyn Boost Logic App performance with advanced KQL queries in Application Insights—spot bottlenecks, analyze slow actions, and optimize workflows without upgrading your hosting plan. How to Build an AI Agent with Azure Logic Apps Post by Cameron McKay Learn how to build your first AI Agent in Azure Logic Apps using Agent Loop—connect to OpenAI, design smart prompts, and automate tasks like weather reporting with low-code workflows. You Can Now Initialize All Your Variables In One Single Action Post by Luis Rigueira You can now initialize multiple variables in Logic Apps with a single action—making your workflows cleaner, faster, and easier to manage. It is a Friday Fact, brought to you by Luis Rigueira! Integration Insights Podcast: The Future of Integration Video by Sagar Sharma and Jochen Toelen In this two-part episode of the Integration Insights podcast, Sagar, Joechen and Kent dive into how integration is evolving in a cloud-first world. From BizTalk migrations to hybrid deployments with Azure Arc, they share practical insights and best practices to future-proof your integration strategy. A must-listen! You can watch part 2 here. Event Grid vs Service Bus vs Event Hubs vs Storage Queues: Choosing the Right Messaging Backbone in Azure Post by Prashant Singh Confused by Azure’s messaging options? This guide breaks down Event Grid, Service Bus, Event Hubs, and Storage Queues—helping you choose the right tool for real-time events, telemetry, enterprise workflows, or lightweight tasks. IntelliSense in Logic Apps Just Got Smarter – Matching Brackets in the Expression Editor! Post by Sandro Pereira Logic Apps just got a lot friendlier—bracket matching in the expression editor now highlights pairs as you type, making it easier to write and debug complex expressions.A Friday Fact from Sandro Pereira. How to Build Resilient Integrations for Mission-Critical Systems Post by Lilan Sameera Learn how to build resilient integrations for mission-critical systems using Logic Apps, Service Bus, and Event Hub—ensuring reliable data delivery, smart retries, and clean outputs even under pressure.
WSilveira
Jul 07, 2025 Place Azure Integration Services Blog
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Enhancing AI Integrations with MCP and Azure API Management
As AI Agents and assistants become increasingly central to modern applications and experiences, the need for seamless, secure integration with external tools and data sources is more critical than ever. The Model Context Protocol (MCP) is emerging as a key open standard enabling these integrations - allowing AI models to interact with APIs, Databases and other services in a consistent, scalable way. Understanding MCP MCP utilizes a client-host-server architecture built upon JSON-RPC 2.0 for messaging. Communication between clients and servers occurs over defined transport layers, primarily: stdio: Standard input/output, suitable for efficient communication when the client and server run on the same machine. HTTP with Server-Sent Events (SSE): Uses HTTP POST for client-to-server messages and SSE for server-to-client messages, enabling communication over networks, including remote servers. Why MCP Matters While Large Language Models (LLMs) are powerful, their utility is often limited by their inability to access real-time or proprietary data. Traditionally, integrating new data sources or tools required custom connectors/ implementations and significant engineering efforts. MCP addresses this by providing a unified protocol for connecting agents to both local and remote data sources - unifying and streamlining integrations. Leveraging Azure API Management for remote MCP servers Azure API Management is a fully managed platform for publishing, securing, and monitoring APIs. By treating MCP server endpoints as other backend APIs, organizations can apply familiar governance, security, and operational controls. With MCP adoption, the need for robust management of these backend services will intensify. API Management retains a vital role in governing these underlying assets by: Applying security controls to protect the backend resources. Ensuring reliability. Effective monitoring and troubleshooting with tracing requests and context flow. n this blog post, I will walk you through a practical example: hosting an MCP server behind Azure API Management, configuring credential management, and connecting with GitHub Copilot. A Practical Example: Automating Issue Triage To follow along with this scenario, please check out our Model Context Protocol (MCP) lab available at AI-Gateway/labs/model-context-protocol Let's move from theory to practice by exploring how MCP, Azure API Management (APIM) and GitHub Copilot can transform a common engineering workflow. Imagine you're an engineering manager aiming to streamline your team's issue triage process - reducing manual steps and improving efficiency. Example workflow: Engineers log bugs/ feature requests as GitHub issues Following a manual review, a corresponding incident ticket is generated in ServiceNow. This manual handoff is inefficient and error prone. Let's see how we can automate this process - securely connecting GitHub and ServiceNow, enabling an AI Agent (GitHub Copilot in VS Code) to handle triage tasks on your behalf. A significant challenge in this integration involves securely managing delegated access to backend APIs, like GitHub and ServiceNow, from your MCP Server. Azure API Management's credential manager solves this by centralizing secure credential storage and facilitating the secure creation of connections to your third-party backend APIs. Build and deploy your MCP server(s) We'll start by building two MCP servers: GitHub Issues MCP Server Provides tools to authenticate on GitHub (authorize_github), retrieve user infromation (get_user ) and list issues for a specified repository (list_issues). ServiceNow Incidents MCP Server Provides tools to authenticate with ServiceNow (authorize_servicenow), list existing incidents (list_incidents) and create new incidents (create_incident). We are using Azure API Management to secure and protect both MCP servers, which are built using Azure Container Apps. Azure API Management's credential manager centralizes secure credential storage and facilitates the secure creation of connections to your backend third-party APIs. Client Auth: You can leverage API Management subscriptions to generate subscription keys, enabling client access to these APIs. Optionally, to further secure /sse and /messages endpoints, we apply the validate-jwt policy to ensure that only clients presenting a valid JWT can access these endpoints, preventing unauthorized access. (see: AI-Gateway/labs/model-context-protocol/src/github/apim-api/auth-client-policy.xml) After registering OAuth applications in GitHub and ServiceNow, we update APIM's credential manager with the respective Client IDs and Client Secrets. This enables APIM to perform OAuth flows on behalf of users, securely storing and managing tokens for backend calls to GitHub and ServiceNow. Connecting your MCP Server in VS Code With your MCP servers deployed and secured behind Azure API Management, the next step is to connect them to your development workflow. Visual Studio Code now supports MCP, enabling GitHub Copilot's agent mode to connect to any MCP-compatible server and extend its capabilities. Open Command Pallette and type in MCP: Add Server ... Select server type as HTTP (HTTP or Server-Sent Events) Paste in the Server URL Provide a Server ID This process automatically updates your settings.json with the MCP server configuration. Once added, GitHub Copilot can connect to your MCP servers and access the defined tools, enabling agentic workflows such as issue triage and automation. You can repeat these steps to add the ServiceNow MCP Server. Understanding Authentication and Authorization with Credential Manager When a user initiates an authentication workflow (e.g, via the authorize_github tool), GitHub Copilot triggers the MCP server to generate an authorization request and a unique login URL. The user is redirected to a consent page, where their registered OAuth application requests permissions to access their GitHub account. Azure API Management acts as a secure intermediary, managing the OAuth flow and token storage. Flow of authorize_github: Step 1 - Connection initiation: GitHub Copilot Agent invokes a sse connection to API Management via the MCP Client (VS Code) Step 2 - Tool Discovery: APIM forwards the request to the GitHub MCP Server, which responds with available tools Step 3 - Authorization Request: GitHub Copilot selects and executes authorize_github tool. The MCP server generates an authorization_id for the chat session. Step 4 - User Consent: If it's the 1st login, APIM requests a login redirect URL from the MCP Server The MCP Server sends the Login URL to the client, prompting the user to authenticate with GitHub Upon successful login, GitHub redirects the client with an authorization code Step 5 - Token Exchange and Storage: The MCP Client sends the authorization code to API Management APIM exchanges the code for access and refresh tokens from GitHub APIM securely stores the token and creates an Access Control List (ACL) for the service principal. Step 6 - Confirmation: APIM confirms successful authentication to the MCP Client, and the user can now perform authenticated actions, such as accessing private repositories. Check out the python logic for how to implement it: AI-Gateway/labs/model-context-protocol/src/github/mcp-server/mcp-server.py Understanding Tool Calling with underlaying APIs in API Management Using the list_issues tool, Connection confirmed APIM confirms the connection to the MCP Client Issue retrieval: The MCP Client requests issues from the MCP server The MCP Server attaches the authorization_id as a header and forwards the request to APIM The list of issues is returned to the agent You can use the same process to add the ServiceNow MCP Server. With both servers connected, GitHub Copilot Agent can extract issues from a private repo in GitHub and create new incidences in ServiceNow, automating your triage workflow. You can define additional tools such as suggest_assignee tool, assign_engineer tool, update_incident_status tool, notify_engineer tool, request_feedback tool and other to demonstrate a truly closed-loop, automated engineering workflow - from issue creation to resolution and feedback. Take a look at this brief demo showcasing the entire end-to-end process: Summary Azure API Management (APIM) is an essential tool for enterprise customers looking to integrate AI models with external tools using the Model Context Protocol (MCP). In this blog, we demonstrated how Azure API Management's credential manager solves the secure creation of connections to your backend APIs. By integrating MCP servers with VS Code and leveraging APIM for OAuth flows and token management, you can enable secure, agenting automation across your engineering tools. This approach not only streamlines workflows like issues triage and incident creation but also ensures enterprise-grade security and governance for all APIs. Additional Resources Using Credential Manager will help with managing OAuth 2.0 tokens to backend services. Client Auth for remote MCP servers: AZD up: https://aka.ms/mcp-remote-apim-auth AI lab Client Auth: AI-Gateway/labs/mcp-client-authorization/mcp-client-authorization.ipynb Blog Post: https://aka.ms/remote-mcp-apim-auth-blog If you have any questions or would like to learn more about how MCP and Azure API Management can benefit your organization, feel free to reach out to us. We are always here to help and provide further insights. Connect with us on LinkedIn (Julia Kasper & Julia Muiruri) and follow for more updates, insights, and discussions on AI integrations and API management.
JuliaKa
Jun 25, 2025 Place Azure Integration Services Blog
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Expose REST APIs as MCP servers with Azure API Management and API Center (now in preview)
As AI-powered agents and large language models (LLMs) become central to modern application experiences, developers and enterprises need seamless, secure ways to connect these models to real-world data and capabilities. Today, we’re excited to introduce two powerful preview capabilities in the Azure API Management Platform: Expose REST APIs in Azure API Management as remote Model Context Protocol (MCP) servers Discover and manage MCP servers using API Center as a centralized enterprise registry Together, these updates help customers securely operationalize APIs for AI workloads and improve how APIs are managed and shared across organizations. Unlocking the value of AI through secure API integration While LLMs are incredibly capable, they are stateless and isolated unless connected to external tools and systems. Model Context Protocol (MCP) is an open standard designed to bridge this gap by allowing agents to invoke tools—such as APIs—via a standardized, JSON-RPC-based interface. With this release, Azure empowers you to operationalize your APIs for AI integration—securely, observably, and at scale. 1. Expose REST APIs as MCP servers with Azure API Management An MCP server exposes selected API operations to AI clients over JSON-RPC via HTTP or Server-Sent Events (SSE). These operations, referred to as “tools,” can be invoked by AI agents through natural language prompts. With this new capability, you can expose your existing REST APIs in Azure API Management as MCP servers—without rebuilding or rehosting them. Addressing common challenges Before this capability, customers faced several challenges when implementing MCP support: Duplicating development efforts: Building MCP servers from scratch often led to unnecessary work when existing REST APIs already provided much of the needed functionality. Security concerns: Server trust: Malicious servers could impersonate trusted ones. Credential management: Self-hosted MCP implementations often had to manage sensitive credentials like OAuth tokens. Registry and discovery: Without a centralized registry, discovering and managing MCP tools was manual and fragmented, making it hard to scale securely across teams. API Management now addresses these concerns by serving as a managed, policy-enforced hosting surface for MCP tools—offering centralized control, observability, and security. Benefits of using Azure API Management with MCP By exposing MCP servers through Azure API Management, customers gain: Centralized governance for API access, authentication, and usage policies Secure connectivity using OAuth 2.0 and subscription keys Granular control over which API operations are exposed to AI agents as tools Built-in observability through APIM’s monitoring and diagnostics features How it works MCP servers: In your API Management instance navigate to MCP servers Choose an API: + Create a new MCP Server and select the REST API you wish to expose. Configure the MCP Server: Select the API operations you want to expose as tools. These can be all or a subset of your API’s methods. Test and Integrate: Use tools like MCP Inspector or Visual Studio Code (in agent mode) to connect, test, and invoke the tools from your AI host. Getting started and availability This feature is now in public preview and being gradually rolled out to early access customers. To use the MCP server capability in Azure API Management: Prerequisites Your APIM instance must be on a SKUv1 tier: Premium, Standard, or Basic Your service must be enrolled in the AI Gateway early update group (activation may take up to 2 hours) Use the Azure Portal with feature flag: ➤ Append ?Microsoft_Azure_ApiManagement=mcp to your portal URL to access the MCP server configuration experience Note: Support for SKUv2 and broader availability will follow in upcoming updates. Full setup instructions and test guidance can be found via aka.ms/apimdocs/exportmcp. 2. Centralized MCP registry and discovery with Azure API Center As enterprises adopt MCP servers at scale, the need for a centralized, governed registry becomes critical. Azure API Center now provides this capability—serving as a single, enterprise-grade system of record for managing MCP endpoints. With API Center, teams can: Maintain a comprehensive inventory of MCP servers. Track version history, ownership, and metadata. Enforce governance policies across environments. Simplify compliance and reduce operational overhead. API Center also addresses enterprise-grade security by allowing administrators to define who can discover, access, and consume specific MCP servers—ensuring only authorized users can interact with sensitive tools. To support developer adoption, API Center includes: Semantic search and a modern discovery UI. Easy filtering based on capabilities, metadata, and usage context. Tight integration with Copilot Studio and GitHub Copilot, enabling developers to use MCP tools directly within their coding workflows. These capabilities reduce duplication, streamline workflows, and help teams securely scale MCP usage across the organization. Getting started This feature is now in preview and accessible to customers: https://aka.ms/apicenter/docs/mcp AI Gateway Lab | MCP Registry 3. What’s next These new previews are just the beginning. We're already working on: Azure API Management (APIM) Passthrough MCP server support We’re enabling APIM to act as a transparent proxy between your APIs and AI agents—no custom server logic needed. This will simplify onboarding and reduce operational overhead. Azure API Center (APIC) Deeper integration with Copilot Studio and VS Code Today, developers must perform manual steps to surface API Center data in Copilot workflows. We’re working to make this experience more visual and seamless, allowing developers to discover and consume MCP servers directly from familiar tools like VS Code and Copilot Studio. For questions or feedback, reach out to your Microsoft account team or visit: Azure API Management documentation Azure API Center documentation — The Azure API Management & API Center Teams
anishta
Jun 17, 2025 Place Azure Integration Services Blog
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Autoscaling Now Available in Azure API Management v2 Tiers
Gateway-Level Metrics: Deep Insight into Performance Azure API Management now exposes fine-grained metrics for each Azure API management v2 gateway instance, giving you more control and observability. These enhancements give you deeper visibility into your infrastructure and the ability to scale automatically based on real-time usage—without manual effort. Key Gateway Metrics CPU Percentage of Gateway – Available in Basic v2, Standard v2, and Premium v2 Memory Percentage of Gateway – Available in Basic v2 and Standard v2 These metrics are essential for performance monitoring, diagnostics, and intelligent scaling. Native Autoscaling: Adaptive, Metric-Driven Scaling With gateway-level metrics in place, Azure Monitor autoscale rules can now drive automatic scaling of Azure API Management v2 gateways. How It Works You define scaling rules that automatically increase or decrease gateway instances based on: CPU percentage Memory percentage (for Basic v2 and Standard v2) Autoscale evaluates these metrics against your thresholds and acts accordingly, eliminating the need for manual scaling or complex scripts. Benefits of Autoscaling in Azure API management v2 tiers Autoscaling in Azure API Management brings several critical benefits for operational resilience, efficiency, and cost control: Reliability Maintain consistent performance by automatically scaling out during periods of high traffic. Your APIs stay responsive and available—even under sudden load spikes. Operational Efficiency Automated scaling eliminates manual, error-prone intervention. This allows teams to focus on innovation, not infrastructure management. Cost Optimization When traffic drops, auto scale automatically scales in to reduce the number of gateway instances—helping you save on infrastructure costs without sacrificing performance. Use Case Highlights Autoscaling is ideal for: APIs with unpredictable or seasonal traffic Enterprise systems needing automated resiliency Teams seeking cost control and governance Premium environments that demand always-on performance Get Started Today Enabling autoscaling is easy via the Azure Portal: Open your API Management instance Go to Settings > Scale out (Autoscale) Enable autoscaling and define rules using gateway metrics Monitor performance in real time via Azure Monitor Configuration walkthrough: Autoscale your Azure API Management v2 instance
Sreekanth_Thirthala
Jun 16, 2025 Place Azure Integration Services Blog
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Announcing the open Public Preview of the Premium v2 tier of Azure API Management
Today, we are excited to announce the public preview of Azure API Management Premium v2 tier. Superior capacity, highest entity limits, unlimited included calls, and the most comprehensive set of features set the Premium apart from other API Management tiers. Customers rely on the Premium tier for running enterprise-wide API programs at scale, with high availability, and performance. The Premium v2 tier has a new architecture that eliminates management traffic from the customer VNet, making private networking much more secure and easier to setup. During the creation of a Premium v2 instance, you can choose between VNet injection or VNet integration (introduced in the Standard v2 tier) options. New and improved VNet injection Using VNet injection in Premium v2 no longer requires any network security groups rules, route tables, or service endpoints. Customers can secure their API workloads without impacting API Management dependencies, while Microsoft can secure the infrastructure without interfering with customer API workloads. In short, the new VNet injection implementation enables both parties to manage network security and configuration setting independently and without affecting each other. You can now configure your APIs with complete networking flexibility: force tunnel all outbound traffic on-premises, send all outbound traffic through an NVA, or add a WAF device to monitor all inbound traffic to your API Management Premium v2—all without constraints. Region availability The public preview of the Premium v2 tier is available only in 6 public regions (Australia East, East US2, Germany West Central, Korea Central, Norway East and UK South) and requires creating a new service instance. For pricing information and regional availability, please visit the API Management pricing page. Learn more API Management v2 tiers documentation API Management v2 tiers FAQ API Management overview documentation
Sreekanth_Thirthala
Jun 12, 2025 Place Azure Integration Services Blog
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Forrester Study Finds 315% ROI with Azure API Management and a Path to AI Readiness
APIs are the engines of modern digital experiences, powering everything from mobile apps to AI copilots. As AI reshapes products, experiences and workflows, APIs have become essential infrastructure. But without the right management strategy, managing APIs at scale can introduce complexity, security risks, and inefficiencies. That’s where Azure API Management comes in. It’s a fully managed service that helps you publish, secure, monitor, and scale APIs across clouds, on-premises, and hybrid environments. With deep integration across the Microsoft ecosystem — including Azure OpenAI Service, GitHub Copilot, and Microsoft Defender for APIs — it delivers unmatched efficiency and value. Bottom line? A 315% ROI, according to a Forrester study. To quantify the business impact, in 2025 Microsoft commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study. The study evaluated the costs, benefits, and risks of adopting Azure API Management, based on interviews with decision-makers from seven organizations across financial services, manufacturing, financial technology, and consumer goods sectors. Forrester created a composite organization modeled after these interviews, a $1B global enterprise based in North America, and the results were compelling: 315% ROI over three years driven by faster time to market, reduced legacy costs, improved developer productivity, and preparation for AI and the future. From legacy bottlenecks to agile innovation Before adopting Azure API Management, the organizations faced common challenges: Complex, siloed systems High integration and maintenance costs Low API reuse and poor discoverability Inefficient development cycles Starting API programs with limited internal support Azure API Management helped them turn these challenges into opportunities. Key quantified benefits over three years Based on interviews and Forrester’s financial model, the composite organization experienced the following top benefits: 30% more efficient API development and 50% more efficient policy configuration Developers saved more than a week per API and an hour per policy, enabling them to reallocate time to higher-value tasks. Total value: $679,000 “[With our prior solution,] it took three to four weeks of development. With Azure API Management, it is one week of development. That is the difference.” Principal architect, manufacturing 5%+ improvement in API and policy reuse With Azure API Management and Azure API Center, the composite organization increases its reuse of APIs and API policies. It consolidates and tracks all the APIs it creates, which improves discovery and allows its developers to reuse APIs and API policies instead of creating new ones. Over three years, this translates to $352,000 for the composite organization. “Azure API Management is a good tool. It does what it is supposed to do well, and it works well with the Azure ecosystem. We are happy, and we are investing heavily to use it more.” Director of data platforms and services, financial technology 80% boost in API management and support productivity Compared to legacy systems, platform engineers recaptured over 12 hours per API per year, enabling a shift to more strategic work. Total value: $370,000 “Every hour saved with Azure API Management is a leverage for a new business case.” Senior engineering manager, financial services 50% faster time to market, accelerating operating profit Instead of taking three months to bring an API initiative to market, the composite organization does this twice as fast in 1.5 months with Azure API Management. Because the developers and IT professionals work more efficiently, the composite earns additional months of recurring revenue and achieves its API-related business goals more quickly. Over three years, this benefit is worth $1.5 million to the composite organization. $190K+ saved annually from retiring legacy infrastructure By adopting Azure API Management and modernizing, the composite organization progressively retires and consolidates legacy hardware and software. These yield cost savings it can reinvest in other initiatives. Over three years, this benefit is worth $568,000 to the composite organization. Strategic advantages beyond the numbers While the quantifiable results are impressive, customers also shared unquantified but critical benefits: Stronger security and governance across hybrid and multi-cloud environments Greater API resilience with less downtime and smoother experiences Improved developer experience and higher satisfaction across engineering teams AI lifecycle governance, with Azure API Management acting as a centralized AI gateway Seamless integration across the Microsoft ecosystem, boosting innovation and productivity Improved AI governance and visibility with a centralized gateway As generative AI becomes core to digital transformation, organizations must not only innovate quickly — they must govern AI usage with precision and responsibility. Interviewees emphasized how Azure API Management acted as a centralized AI gateway, helping them securely manage the rising complexity of AI-driven apps. With Azure API Management, they gained: Full visibility into generative AI usage across teams and apps Rate-limiting and throttling, preventing unexpected costs or misuse Centralized logging and monitoring for compliance and oversight Consistent performance and low latency for AI-powered user experiences “We have enforced rate-limiting in nonproduction environment. The rate limit helps us to control the usage pattern so that there is no excess usage with respect to APIs. Azure API Management provides visibility and traceability. That helps us to see the usage pattern and take proactive steps to communicate to the consumers [of AI].” — Cloud data architect, global consumer goods company Strengthened security posture and simplified compliance Modern digital infrastructure, especially with AI workloads, demands secure, reliable API exposure across hybrid and multi-cloud environments. Organizations in the study reported that Azure API Management significantly improved their security posture and reduced operational risk. Key benefits included: A single secure gateway to all APIs, reducing attack surface Always-on protection with automated patching, threat detection, and identity integration Built-in integrations with Microsoft security offerings including Microsoft Sentinel, enabling seamless SIEM visibility and faster incident response “We created a single door to get to the APIs, It increased our security posture... [We are] twice as secure.” — Director of data platforms, financial technology firm “[The cybersecurity team] is very excited about Azure API Management and it’s rare to say [that team] is excited about a solution. … Microsoft is responsible for keeping security patched,.. and the logs going to our SIEM solution are more seamless….” — Senior engineering manager, financial services company These capabilities didn’t just make APIs safer. They also freed up time for engineering and security teams to focus on innovation instead of operational overhead. A platform built for the future Whether modernizing legacy infrastructure or launching a new API strategy, organizations used Azure API Management to leapfrog challenges and build intelligent, composable applications. The result? Faster time to value. Improved governance. Better developer experience. And a platform ready for the AI era. “The main value is flexibility. Azure API Management is a very scalable and resilient solution. It integrates well with the Azure ecosystem, and it supports all the modern paradigms.” — Director of Data Platforms, FinTech Ready to realize the impact? Whether you're modernizing legacy systems, building new digital experiences, or governing AI workloads, Azure API Management provides a trusted, enterprise-grade platform to support your strategy. See how Azure API Management delivered 315% ROI — read the full Forrester TEI study. Start building with Azure API Management — try it free today!
beenamore
Jun 03, 2025 Place Azure Integration Services Blog
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Announcing the Public Preview of the Applications feature in Azure API management
API Management now supports built-in OAuth 2.0 application-based access to product APIs using the client credentials flow. This feature allows API managers to register Microsoft Entra ID applications, streamlining secure API access for developers through OAuth 2.0 authorization. API publishers and developers can now more effectively manage client identity, access, and authorization flows. With this feature: API managers can identify which products require OAuth authorization by setting a product property to enable application-based access API managers can create and manage client applications and assign them access to specific products. Developers can see their registered applications in API management developer portal and use OAuth tokens to securely call APIs and products OAuth tokens presented in API requests are validated by the API Management gateway to authorize access to the product's APIs. This feature simplifies identity and access management in API programs, enabling a more secure and scalable approach to API consumption. Enable OAuth authorization API managers can now identify specific products which are protected by Microsoft Entra identity by enabling "Application based access". This ensures that only valid client applications which have a secure OAuth token from Microsoft Entra identity can access the APIs associated with this product. An application is created in Microsoft Entra corresponding to the product, with appropriate app role. Register client applications and assign products API managers can register client applications, identify specific developers as owners of these applications and assign products to these applications. This creates a new application in Microsoft Entra and assigns API permissions to access the product. Securely access the API using client applications Developers can login into API management developer portal and see the appropriate applications assigned to them. They can retrieve the application credentials and call Microsoft Entra to get an OAuth token, use this token to call APIM gateway and securely access the product/API. Preview limitations The public preview of the Applications is a limited-access feature. To participate in the preview and enable Applications in your APIM service instance, you must complete a request form. The Azure API Management team will review your request and respond via email within five business days. Learn more Securely access product APIs with Microsoft Entra applications
Sreekanth_Thirthala
Jun 03, 2025 Place Azure Integration Services Blog
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Logic Apps Aviators Newsletter - June 25
In this issue: Ace Aviator of the Month News from our product group News from our community Ace Aviator of the Month April’s Ace Aviator: Andrew Wilson What's your role and title? What are your responsibilities? I am the Chief Consultancy Officer at Black Marble, a multi-award-winning software company with a big focus on the Microsoft stack. I work with a talented team of consultants to help our customers get the most out of Azure. My role is all about enabling organisations to modernise, integrate, and optimise their systems, always with an eye on DevOps best practices. I’m involved across most of the software development lifecycle, but my focus tends to lean toward consultations, gathering requirements, and architecting solutions that solve real-world problems. I work across a range of areas including application modernisation, BizTalk to Azure Integration Services (AIS) migrations, system integrations, and cloud optimisation. Over time, I've developed a strong focus on Azure, especially around AIS. In short, I help bridge the gap between technical possibilities and business needs, making sure the solutions we design are both practical and future-ready. Can you give us some insights into your day-to-day activities and what a typical day in your role looks like? No two days are quite the same which keeps things interesting! I usually kick things off with a quick plan for the day (and a bit of reshuffling for the week ahead) to make sure we’re focused on what matters most for both customers and the team. My time is a mix of customer-facing work, sales conversations with new prospects, and supporting existing clients, whether that’s through solution design, quick fixes, or hands-on consultancy. I’m often reviewing or writing proposals and architectures, and jumping in to support the team on delivery when needed. There’s always some active learning in the mix too, reading, experimenting, or spinning up quick ideas to explore better ways of doing things. We don’t work in silos at Black Marble, so I’ll often jump in where I can add value, whether or not I’m directly on the project. It’s a real team effort, and that collaboration is a big part of what makes the role so rewarding. What motivates and inspires you to be an active member of the Aviators/Microsoft community? I’ve always enjoyed the challenge of bringing systems and applications together, there’s something really satisfying about seeing everything click into place and knowing it’s driving real business value What makes the Aviators and wider Microsoft community special is that everyone shares that same excitement. It’s a group of people who genuinely care about solving problems, pushing technology forward, and learning from one another. Being part of that kind of community is motivating in itself, we’re all collaborating, sharing ideas, and helping shape a better, more connected future. It’s hard not to be inspired when you’re surrounded by people who are just as passionate about the work as you are. Looking back, what advice do you wish you had been given earlier that you'd now share with those looking to get into STEM/technology? Stay curious, always ask “why,” and don’t be afraid to get things wrong, because you will, and that’s how you learn. Some of the best breakthroughs come after a few missteps (and maybe a bit of head-scratching). It’s easy to look around and feel like others have it all figured out, don’t let that discourage you. Everyone’s journey is different, and what looks effortless on the outside often has a lot of trial and error behind it. One of the best things about STEM is its diversity, there are so many different roles, paths, and people in this space. Whether you’re hands-on with code, designing systems, or solving data challenges, there’s a place for you. It’s not a one-size-fits-all, and that’s what makes it exciting. Most importantly, share what you learn. Even if something’s been “done,” your take on it might be exactly what someone else needs to see to help them get started. And yes, imposter syndrome is real, but don’t let it silence you. You belong here just as much as anyone else. What has helped you grow professionally? A big part of my growth has come from simply committing to continuous learning, whether that’s diving into new tech, attending conferences like Integrate, or being part of user groups where ideas (and challenges) get shared openly. I’ve also learned to say yes to opportunities, even when they’ve felt a bit daunting at first. Pushing through the unknown, especially with the support of a great team and community, has led to some of my most rewarding experiences. And finally, I try to approach everything with the mindset that I’m someone others can count on. That sense of responsibility has helped me stay focused, accountable, and constantly improving. If you had a magic wand that could create a feature in Logic Apps, what would it be and why? Wow, what an exciting question! If I had a magic wand, the first thing I’d add is having the option to throw exceptions that can be caught by try-catch scope blocks, this would bring much-needed clarity and flexibility to error handling. It’s a feature that would really help build more resilient and maintainable solutions. Then, the ability to break or continue loops, sometimes you need that fine-tuned control to keep your workflows running smoothly without extra workarounds. And lastly, full GA support for unit and integration testing, because testing is the backbone of reliable software, and having that baked in would save so much time and stress down the line. News from our product group Logic Apps Live May 2025 Missed Logic Apps Live in May? You can watch it here. We focused on the Logic Apps big announcements from Microsoft Build 2025. There are a lot of great things to check! Announcing agent loop: Build AI Agents in Azure Logic Apps The era of intelligent business processes has arrived! Today, we are excited to announce agent loop, a groundbreaking new capability in Azure Logic Apps to build AI agents into your enterprise workflows. With agent loop, you can embed advanced AI decision-making directly into your processes – enabling your apps and automation to not just follow predefined steps, but to reason, adapt, and act autonomously towards goals. Agent Loop Demos We announced the public preview of agent loop at Build 2025. Agent Loop is a new feature in Logic Apps to build AI Agents for use cases that span across industry domains and patterns. In this article, share with you use cases implemented in Logic Apps using agent loop and other features. Announcement: Azure Logic Apps Document Indexer in Azure Cosmos DB We’re excited to announce the public preview of Azure Logic Apps as a document indexer for Azure Cosmos DB!00 With this release, you can now use Logic Apps connectors and templates to ingest documents directly into Cosmos DB’s vector store—powering AI workloads like Retrieval-Augmented Generation (RAG) with ease. Announcement: Logic Apps connectors in Azure AI Search for Integrated Vectorization We’re excited to announce that Azure Logic Apps connectors are now supported within AI Search as data sources for ingestion into Azure AI Search vector stores. This unlocks the ability to ingest unstructured documents from a variety of systems—including SharePoint, Amazon S3, Dropbox and many more —into your vector index using a low-code experience. Announcement: Power your Agents in Azure AI Foundry Agent Service with Azure Logic Apps We’re excited to announce the Public Preview of two major integrations that bring the power of Azure Logic Apps to AI Agents in Foundry – Logic Apps as Tools and AI Agent Service Connector. Learn more on our announcement post! Codeful Workflows: A New Authoring Model for Logic Apps Standard Codeful Workflows expand the authoring and execution models of a Logic Apps Standard, offering developers the ability to implement, test and run workflows using an imperative programming model both locally and in the cloud. Announcing the General Availability of the Azure Logic Apps Rules Engine we are announcing the General Availability of our Azure Logic Apps Rules Engine. A deterministic rules engine runtime based on the RETE algorithm that allows in-memory execution, prioritization, and reevaluation of business rules in Azure Logic Apps. Integration Environment Update – Unified experience to create and manage alerts We’re excited to announce the next milestone in our journey to simplify monitoring across Azure Integration Services. As a follow-up to our earlier preview release on unified monitoring and dashboards, we’re now making it easier than ever to configure alerts for your integration applications. Automate Invoice data extraction with Logic Apps and Document Intelligence This blog post demonstrates how you can use Azure Logic Apps, the new Analyze Document Details action, and Azure OpenAI to automatically convert invoice images into structured data and store them in Azure Cosmos DB. Log Ingestion to Azure Log Analytics Workspace with Logic App Standard Discover how to send logs to Azure Log Analytics Workspace using Logic App Standard for VNet integration. Learn about shared key authentication and HTTP action configuration for seamless log ingestion. Generating Webhook Action Callback URL with Primary or secondary Access Key Learn how to manage Webhook action callback URLs in Azure Logic Apps when regenerating access keys. Discover how to use the accessKeyType property to ensure seamless workflow execution and maintain security. Announcing the Public Preview of the Applications feature in Azure API management Discover the new Applications feature in Azure API Management, enabling OAuth-based access to APIs and products. Streamline secure API access with built-in OAuth 2.0 application-based authorization. GA: Inbound private endpoint for Standard v2 tier of Azure API Management Today, we are excited to announce the general availability of inbound private endpoint for Azure API management Standard v2 tier. Securely connect clients in your private network to the API Management gateway using Azure Private Link. Announcing the open Public Preview of the Premium v2 tier of Azure API Management Announcing the public preview of Azure API Management Premium v2 tier. Experience superior capacity, highest entity limits, and unlimited calls with enhanced security and networking flexibility. Announcing Federated Logging in Azure API Management Announcing federated logging in Azure API Management. Gain centralized monitoring for platform teams and autonomy for API teams, streamlining API management with robust security and operational visibility. Introducing Workspace Gateway Metrics and Autoscale in Azure API Management Introducing workspace gateway metrics and autoscale in Azure API Management. Efficiently monitor and scale your gateway infrastructure with real-time insights and automated scaling for enhanced reliability and cost efficiency. Introducing Model Logging, Import from AI Foundry, and extended model support in AI Gateway Introducing workspace gateway metrics and autoscale in Azure API Management. Efficiently monitor and scale your gateway infrastructure with real-time insights and automated scaling for enhanced reliability and cost efficiency. Expose REST APIs as MCP servers with Azure API Management and API Center (now in preview) Discover how to expose REST APIs as MCP servers with Azure API Management and API Center, now in preview. Enhance AI integration with secure, observable, and scalable API operations. Now in Public Preview: System events for data-plane in API Management gateway Announcing the public preview of new data-plane system events in Azure Event Grid for the Azure API Management managed gateway. Gain near-real-time visibility into critical operations, automate responses, and prevent disruptions. News from our community Agentic AI – A Potential Black Swan Moment in System Integration Video by Ahmed Bayoumy Discover how Agentic Logic Apps are revolutionizing system integration with AI-driven workflows. Learn how this innovative approach transforms business processes by understanding goals, deciding actions, and using predefined tools for smart orchestration. Microsoft Build: Behind the Scenes with Agent Loop Workflow A New Phase in AI Evolution Video by Ahmed Bayoumy Explore how Agent Loop brings “human in the loop” control to enterprise workflows, on this video by Ahmed, sharing insights directly from Microsoft Build 2025, in a chat with Kent Weare and Divya Swarnkar. Microsoft Build 2025: Azure Logic Apps is Now Your AI Agent Superpower! Post by Sagar Sharma Discover how Azure Logic Apps is transforming AI agent development with new capabilities unveiled at Microsoft Build 2025. Learn about Agent Loop, AI Foundry integration, Document Indexer, and more for intelligent, adaptive workflows. Everyone is talking about AI Agents — Here’s how to actually build one that works Post by Mateusz Partyka Learn how to build effective AI agents with practical strategies and insights. Discover tips on choosing the right tech stack, prototyping fast, managing model costs, and prompt engineering for optimal results. Agent Loop | Azure Logic Apps Just Got Smarter Post by Andrew Wilson Discover Agent Loop in Azure Logic Apps – now in preview - a revolutionary AI-powered integration feature. Enhance workflows with advanced decision-making, context retention, and adaptive actions for smarter automation. Step-by-Step Guide to Azure Logic Apps Agent Loop Post by Stephen W. Thomas Dive into the step-by-step guide for creating AI Agents with Azure Logic Apps Agent Loop – now in preview. Learn to leverage 1300+ connectors, set up OpenAI models, and build intelligent workflows with no-code integration. You can also follow Stephen’s video tutorial Confessions of a Control Freak: How I Learned to Love Low Code (with Logic Apps) Post by Peter Mugisha Discover how a self-confessed control freak learned to embrace low-code development with Azure Logic Apps. From skepticism to advocacy, explore the journey of efficient integration and streamlined workflows. Logic Apps Standard vs. Large Files: Common Hurdles and How to Beat Them Post by Şahin Özdemir Learn how to overcome common hurdles when handling large files in Logic Apps Standard. Discover strategies for scaling, offloading memory-intensive operations, and optimizing performance for efficient integration. There is a new-new Data Mapper for Logic App Standard Post by Sandro Pereira Discover the new Data Mapper for Logic App Standard, now in public preview. Enjoy a modern BizTalk-style mapper with code-first, schema-aware experience, supporting XSLT 3.0, XSD, and JSON schemas for efficient data mapping! A Friday Fact from Sandro Pereira. The name of When a HTTP request is received trigger affects the workflow URL Post by Sandro Pereira Discover how the name of the "When a HTTP request is received" trigger affects the workflow URL in Azure Logic Apps. Learn best practices to avoid integration issues and ensure consistent endpoint paths. Changing APIM Operations Doesn’t Update their PathTemplate Post by Luis Rigueira Learn how to handle PathTemplate issues in Azure Logic Apps Standard when switching APIM operations. Ensure correct endpoint paths to avoid misleading results and streamline your workflow. It is a Friday Fact, brought to you by Luis Rigueira!
WSilveira
Jun 02, 2025 Place Azure Integration Services Blog
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Azure API Center: Your Comprehensive API Inventory and Governance Solution

JuliaKa
May 21, 2025 Place Azure Integration Services Blog
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1Comment

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auto;\r\n}\r\n.custom_widget_MicrosoftFooter_c-uhff-nav_1w55e_69 {\r\n margin: 0 auto;\r\n max-width: calc(100rem + 10%);\r\n padding: 0 5%;\r\n box-sizing: inherit;\r\n &:before,\r\n &:after {\r\n content: ' ';\r\n display: table;\r\n clear: left;\r\n }\r\n @media only screen and (max-width: 1083px) {\r\n padding-left: 0.75rem;\r\n }\r\n .custom_widget_MicrosoftFooter_c-heading-4_1w55e_97 {\r\n color: #616161;\r\n word-break: break-word;\r\n font-size: 0.9375rem;\r\n line-height: 1.25rem;\r\n padding: 2.25rem 0 0.25rem;\r\n font-weight: 600;\r\n }\r\n .custom_widget_MicrosoftFooter_c-uhff-nav-row_1w55e_113 {\r\n .custom_widget_MicrosoftFooter_c-uhff-nav-group_1w55e_115 {\r\n display: block;\r\n float: left;\r\n min-height: 0.0625rem;\r\n vertical-align: text-top;\r\n padding: 0 0.75rem;\r\n width: 100%;\r\n zoom: 1;\r\n &:first-child {\r\n padding-left: 0;\r\n @media only screen and (max-width: 1083px) {\r\n padding-left: 0.75rem;\r\n }\r\n }\r\n @media only screen and (min-width: 540px) and (max-width: 1082px) {\r\n width: 33.33333%;\r\n }\r\n @media only screen and (min-width: 1083px) {\r\n width: 16.6666666667%;\r\n }\r\n ul.custom_widget_MicrosoftFooter_c-list_1w55e_155.custom_widget_MicrosoftFooter_f-bare_1w55e_155 {\r\n font-size: 0.6875rem;\r\n line-height: 1rem;\r\n margin-top: 0;\r\n margin-bottom: 0;\r\n padding-left: 0;\r\n list-style-type: none;\r\n li {\r\n word-break: break-word;\r\n padding: 0.5rem 0;\r\n margin: 0;\r\n }\r\n }\r\n }\r\n }\r\n}\r\n.custom_widget_MicrosoftFooter_c-uhff-base_1w55e_187 {\r\n background: #f2f2f2;\r\n margin: 0 auto;\r\n max-width: calc(100rem + 10%);\r\n padding: 1.875rem 5% 1rem;\r\n &:before,\r\n &:after {\r\n content: ' ';\r\n display: table;\r\n }\r\n &:after {\r\n clear: both;\r\n }\r\n a.custom_widget_MicrosoftFooter_c-uhff-ccpa_1w55e_213 {\r\n font-size: 0.6875rem;\r\n line-height: 1rem;\r\n float: left;\r\n margin: 0.1875rem 0;\r\n }\r\n a.custom_widget_MicrosoftFooter_c-uhff-ccpa_1w55e_213:hover {\r\n text-decoration: underline;\r\n }\r\n ul.custom_widget_MicrosoftFooter_c-list_1w55e_155 {\r\n font-size: 0.6875rem;\r\n line-height: 1rem;\r\n float: right;\r\n margin: 0.1875rem 0;\r\n color: #616161;\r\n li {\r\n padding: 0 1.5rem 0.25rem 0;\r\n display: inline-block;\r\n }\r\n }\r\n .custom_widget_MicrosoftFooter_c-list_1w55e_155.custom_widget_MicrosoftFooter_f-bare_1w55e_155 {\r\n padding-left: 0;\r\n list-style-type: none;\r\n }\r\n @media only screen and (max-width: 1083px) {\r\n display: flex;\r\n flex-wrap: wrap;\r\n padding: 1.875rem 1.5rem 1rem;\r\n }\r\n}\r\n.custom_widget_MicrosoftFooter_social-share_1w55e_275 {\r\n position: fixed;\r\n top: 60%;\r\n transform: translateY(-50%);\r\n left: 0;\r\n z-index: 1000;\r\n}\r\n.custom_widget_MicrosoftFooter_sharing-options_1w55e_291 {\r\n list-style: none;\r\n padding: 0;\r\n margin: 0;\r\n display: block;\r\n flex-direction: column;\r\n background-color: white;\r\n width: 3.125rem;\r\n border-radius: 0 0.4375rem 0.4375rem 0;\r\n}\r\n.custom_widget_MicrosoftFooter_linkedin-icon_1w55e_311 {\r\n border-top-right-radius: 7px;\r\n}\r\n.custom_widget_MicrosoftFooter_linkedin-icon_1w55e_311:hover {\r\n border-radius: 0;\r\n}\r\n.custom_widget_MicrosoftFooter_social-share-email-image_1w55e_325:hover {\r\n border-radius: 0;\r\n}\r\n.custom_widget_MicrosoftFooter_social-link-footer_1w55e_333:hover .custom_widget_MicrosoftFooter_linkedin-icon_1w55e_311 {\r\n border-radius: 0;\r\n}\r\n.custom_widget_MicrosoftFooter_social-link-footer_1w55e_333:hover .custom_widget_MicrosoftFooter_social-share-email-image_1w55e_325 {\r\n border-radius: 0;\r\n}\r\n.custom_widget_MicrosoftFooter_social-link-footer_1w55e_333 img {\r\n width: 1.875rem;\r\n height: auto;\r\n transition: filter 0.3s ease;\r\n}\r\n.custom_widget_MicrosoftFooter_social-share-list_1w55e_359 {\r\n width: 3.125rem;\r\n}\r\n.custom_widget_MicrosoftFooter_social-share-rss-image_1w55e_365 {\r\n width: 1.875rem;\r\n height: auto;\r\n transition: filter 0.3s ease;\r\n}\r\n.custom_widget_MicrosoftFooter_sharing-options_1w55e_291 li {\r\n width: 3.125rem;\r\n height: 3.125rem;\r\n padding: 0.5rem;\r\n box-sizing: border-box;\r\n border: 2px solid white;\r\n display: inline-block;\r\n text-align: center;\r\n opacity: 1;\r\n visibility: visible;\r\n transition: border 0.3s ease; /* Smooth transition effect */\r\n border-left: none;\r\n border-bottom: none; /* Apply bottom border to only last item */\r\n}\r\n.custom_widget_MicrosoftFooter_social-share-list-linkedin_1w55e_405 {\r\n background-color: #0474b4;\r\n border-top-right-radius: 5px; /* Rounded top right corner of first item*/\r\n}\r\n.custom_widget_MicrosoftFooter_social-share-list-facebook_1w55e_413 {\r\n background-color: #3c5c9c;\r\n}\r\n.custom_widget_MicrosoftFooter_social-share-list-xicon_1w55e_419 {\r\n background-color: #000;\r\n}\r\n.custom_widget_MicrosoftFooter_social-share-list-reddit_1w55e_425 {\r\n background-color: #fc4404;\r\n}\r\n.custom_widget_MicrosoftFooter_social-share-list-bluesky_1w55e_431 {\r\n background-color: #f0f2f5;\r\n}\r\n.custom_widget_MicrosoftFooter_social-share-list-rss_1w55e_437 {\r\n background-color: #ec7b1c;\r\n}\r\n.custom_widget_MicrosoftFooter_social-share-list-mail_1w55e_443 {\r\n background-color: #848484;\r\n border-bottom-right-radius: 5px; /* Rounded bottom right corner of last item*/\r\n}\r\n.custom_widget_MicrosoftFooter_sharing-options_1w55e_291 li.custom_widget_MicrosoftFooter_social-share-list-mail_1w55e_443 {\r\n border-bottom: 2px solid white; /* Add bottom border only to the last item */\r\n height: 3.25rem; /* Increase last child height to make in align with the hover label */\r\n}\r\n.custom_widget_MicrosoftFooter_x-icon_1w55e_459 {\r\n filter: invert(100%);\r\n transition: filter 0.3s ease;\r\n width: 1.25rem !important;\r\n height: auto;\r\n padding-top: 0.3125rem !important;\r\n}\r\n.custom_widget_MicrosoftFooter_bluesky-icon_1w55e_473 {\r\n filter: invert(20%) sepia(100%) saturate(3000%) hue-rotate(180deg);\r\n transition: filter 0.3s ease;\r\n padding-top: 0.3125rem !important;\r\n width: 1.5625rem !important;\r\n}\r\n.custom_widget_MicrosoftFooter_share-icon_1w55e_487 {\r\n border: 2px solid transparent;\r\n display: inline-block;\r\n position: relative;\r\n}\r\n.custom_widget_MicrosoftFooter_sharing-options_1w55e_291 li:hover {\r\n border: 2px solid white;\r\n border-left: none;\r\n border-bottom: none;\r\n border-radius: 0;\r\n}\r\n.custom_widget_MicrosoftFooter_sharing-options_1w55e_291 li.custom_widget_MicrosoftFooter_social-share-list-mail_1w55e_443:hover {\r\n border-bottom: 2px solid white; /* Add bottom border only to the last item */\r\n}\r\n.custom_widget_MicrosoftFooter_sharing-options_1w55e_291 li:hover .custom_widget_MicrosoftFooter_label_1w55e_519 {\r\n opacity: 1;\r\n visibility: visible;\r\n border: 2px solid white;\r\n box-sizing: border-box;\r\n border-left: 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APIM provides an enterprise-ready solution that helps you securely expose your MCP servers while evolving with the latest technology.","metrics":{"__typename":"MessageMetrics","views":12209},"postTime":"2025-04-10T16:10:59.999-07:00","lastPublishTime":"2025-05-02T17:38:27.706-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" The Model Context Protocol (MCP) is quickly becoming the standard for integrating Tools 🛠️ with Agents 🤖 and Azure API Management is at the fore-front, ready to support this open-source protocol 🚀. You may have already encountered discussions about MCP, so let's clarify some key concepts: \n \n Model Context Protocol (MCP) is a standardized way, (a protocol), for AI models to interact with external tools, (and either read data or perform actions) and to enrich context for ANY language models. \n AI Agents/Assistants are autonomous LLM-powered applications with the ability to use tools to connect to external services required to accomplish tasks on behalf of users. \n Tools are components made available to Agents allowing them to interact with external systems, perform computation, and take actions to achieve specific goals. \n Azure API Management: As a platform-as-a-service, API Management supports the complete API lifecycle, enabling organizations to create, publish, secure, and analyze APIs with built-in governance, security, analytics, and scalability. \n \n New Cool Kid in Town - MCP \n AI Agents are becoming widely adopted due to enhanced Large Language Model (LLM) capabilities. However, even the most advanced models face limitations due to their isolation from external data. Each new data source requires custom implementations to extract, prepare, and make data accessible for any model(s). - A lot of heavy lifting. \n Anthropic developed an open-source standard - the Model Context Protocol (MCP), to connect your agents to external data sources such as local data sources (databases or computer files) or remote services (systems available over the internet through e.g. APIs). \n \n \n \n MCP Hosts: LLM applications such as chat apps or AI assistant in your IDEs (like GitHub Copilot in VS Code) that need to access external capabilities \n MCP Clients: Protocol clients that maintain 1:1 connections with servers, inside the host application \n MCP Servers: Lightweight programs that each expose specific capabilities and provide context, tools, and prompts to clients \n MCP Protocol: Transport layer in the middle \n \n At its core, MCP follows a client-server architecture where a host application can connect to multiple servers. Whenever your MCP host or client needs a tool, it is going to connect to the MCP server. The MCP server will then connect to for example a database or an API. MCP hosts and servers will connect with each other through the MCP protocol. \n \n You can create your own custom MCP Servers that connect to your or organizational data sources. \n For a quick start, please visit our GitHub repository to learn how to build a remote MCP server using Azure Functions without authentication: https://aka.ms/mcp-remote \n \n Remote vs. Local MCP Servers \n The MCP standard supports two modes of operation: \n \n Remote MCP servers: MCP clients connect to MCP servers over the Internet, establishing a connection using HTTP and Server-Sent Events (SSE), and authorizing the MCP client access to resources on the user's account using OAuth. \n Local MCP servers: MCP clients connect to MCP servers on the same machine, using stdio as a local transport method. \n \n Azure API Management as the AI Auth Gateway \n Now that we have learned that MCP servers can connect to remote services through an API. The question now rises, how can we expose our remote MCP servers in a secure and scalable way? This is where Azure API Management comes in. A way that we can securely and safely expose tools as MCP servers. Azure API Management provides: \n \n Security: AI agents often need to access sensitive data. API Management as a remote MCP proxy safeguards organizational data through authentication and authorization. \n Scalability: As the number of LLM interactions and external tool integrations grows, API Management ensures the system can handle the load. \n \n Security remains to be a critical piece of building MCP servers, as agents will need to securely connect to protected endpoints (tools) to perform certain actions or read protected data. When building remote MCP servers, you need a way to allow users to login (Authenticate) and allow them to grant the MCP client access to resources on their account (Authorization). \n MCP - Current Authorization Challenges \n State: 4/10/2025 Recent changes in MCP authorization have sparked significant debate within the community. \n 🔍 𝗞𝗲𝘆 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 with the Authorization Changes: \n \n The MCP server is now treated as both a resource server AND an authorization server. \n This dual role has fundamental implications for MCP server developers and runtime operations. \n \n 💡 𝗢𝘂𝗿 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: To address these challenges, we recommend using 𝗔𝘇𝘂𝗿𝗲 𝗔𝗣𝗜 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 as your authorization gateway for remote MCP servers. \n \n \n \n 🔗For an enterprise-ready solution, please check out our azd up sample repo to learn how to build a remote MCP server using Azure API Management as your authentication gateway: https://aka.ms/mcp-remote-apim-auth \n \n The Authorization Flow \n \n The workflow involves three core components: the MCP client, the APIM Gateway, and the MCP server, with Microsoft Entra managing authentication (AuthN) and authorization (AuthZ). \n Using the OAuth protocol, the client starts by calling the APIM Gateway, which redirects the user to Entra for login and consent. \n Once authenticated, Entra provides an access token to the Gateway, which then exchanges a code with the client to generate an MCP server token. \n This token allows the client to communicate securely with the server via the Gateway, ensuring user validation and scope verification. \n Finally, the MCP server establishes a session key for ongoing communication through a dedicated message endpoint. \n \n \n Diagram source: https://aka.ms/mcp-remote-apim-auth-diagram \n Conclusion \n Azure API Management (APIM) is an essential tool for enterprise customers looking to integrate AI models with external tools using the Model Context Protocol (MCP). In this blog, we've emphasized the simplicity of connecting AI agents to various data sources through MCP, streamlining previously complex implementations. Given the critical role of secure access to platforms and services for AI agents, APIM offers robust solutions for managing OAuth tokens and ensuring secure access to protected endpoints, making it an invaluable asset for enterprises, despite the challenges of authentication. \n API Management: An Enterprise Solution for Securing MCP Servers \n Azure API Management is an essential tool for enterprise customers looking to integrate AI models with external tools using the Model Context Protocol (MCP). It is designed to help you to securely expose your remote MCP servers. \n \n MCP servers are still very new, and as the technology evolves, API Management provides an enterprise-ready solution that will evolve with the latest technology. Stay tuned for further feature announcements soon! \n \n \n Acknowledgments \n This post and work was made possible thanks to the hard work and dedication of our incredible team. Special thanks to Pranami Jhawar, Julia Kasper, Julia Muiruri, Annaji Sharma Ganti Jack Pa, Chaoyi Yuan and Alex Vieira for their invaluable contributions. \n \n Additional Resources \n \n \n MCP Client Server integration with APIM as AI gateway \n \n Blog Post: https://aka.ms/remote-mcp-apim-auth-blog \n Sequence Diagram: https://aka.ms/mcp-remote-apim-auth-diagram \n APIM lab: https://aka.ms/ai-gateway-lab-mcp-client-auth \n Python: https://aka.ms/mcp-remote-apim-auth \n .NET: https://aka.ms/mcp-remote-apim-auth-dotnet \n On-Behalf-Of Authorization: https://aka.ms/mcp-obo-sample \n \n \n \n \n 3rd Party APIs – Backend Auth via Credential Manager:\n \n Blog Post: https://aka.ms/remote-mcp-apim-lab-blog \n APIM lab: https://aka.ms/ai-gateway-lab-mcp \n YouTube Video: https://aka.ms/ai-gateway-lab-demo \n \n \n 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Apps Aviators Newsletter - July 25","conversation":{"__ref":"Conversation:conversation:4430587"},"id":"message:4430587","revisionNum":1,"uid":4430587,"depth":0,"board":{"__ref":"Blog:board:IntegrationsonAzureBlog"},"author":{"__ref":"User:user:1296617"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"","metrics":{"__typename":"MessageMetrics","views":258},"postTime":"2025-07-07T08:00:00.041-07:00","lastPublishTime":"2025-07-07T08:00:00.041-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" In this issue: \n \n Ace Aviator of the Month \n News from our product group \n News from our community \n \n \n Ace Aviator of the Month \n July’s Ace Aviator: Şahin Özdemir \n \n What's your role and title? What are your responsibilities? \n I currently work for Rubicon Cloud Advisor, a Dutch company specialized in digital transformations, cloud adoption and AI implementation. \n At Rubicon I fulfil the role of Application and Integration architect, while also being a Professional Scrum Trainer at Scrum.org. Even though this sounds like two completely different roles, in practice both go closely hand in hand. I firmly believe that good architecture, a strong development process, and application of best practices are key pillars for delivering high-quality solutions to my clients. Therefore, both roles come in handy in my day-to-day job (combined with my strong background in software development).\\ \n I work closely with companies and their teams in making their journey to Azure - especially Azure Integration Services - successful. Most of the time this journey starts with a business need or challenge, and I work with my clients to get a deeper understanding of their needs. This results in further analysis, capturing requirements, defining architecture, solution design, setting the stage for development (ALM) and being involved in quality assurance. \n At the same time, I think it’s important to stay relevant from a technical perspective. That’s why I also like being involved with implementing the solution. This way, I hear the technical struggles teams face and I can help them to find the right solution. \n Can you give us some insights into your day-to-day activities and what a typical day in your role looks like? \n Not a single day is the same, although there are some recurring activities. \n \n Specific parts of my day (or sprint) are dedicated to Scrum-related activities - whether it's participating in the daily scrum, having sprint reviews with stakeholders, planning the next sprint, or refining the backlog with the team or just aligning with the PO or stakeholders. \n I’m frequently involved in cross-organizational meetings focused on projects at scale. I contribute from the perspective of architecture, technical expertise, and integration strategy. In my role as a solution architect, I'm engaged in designing and implementing a critical integration platform for my client. This platform connects and exchanges data between many internal departments and external vendors - an effort that requires frequent alignment and collaboration. \n I’m always looking for opportunities to expand our Hybrid Integration Platform itself. Exploring how Azure resources may add value to our platform and working closely with the team to realize such improvements to the platform’s capabilities is something I enjoy. \n Outside of the regular meetings, I often focus on designing new integrations. Having working sessions with stakeholders to understand what they want. Based on these discussions, I assess the technical and architectural aspects of the solution. \n Every integration that lands on the platform is measured against both architectural and development principles and guidelines. I contribute to reviewing the solutions that have been developed. Ensuring that each integration is high-quality, consistent, easy to understand, and maintainable. \n I support the platform team with, and whenever possible. And if time permits, I develop parts of the solution myself – I see this as a great way to stay relevant from a technological perspective. \n All the spare time I have, I spend on writing technical articles that may help others. \n \n What motivates and inspires you to be an active member of the Aviators/Microsoft community? \n Because I enjoy helping others. \n Every day I work with a team of smart professionals on integration solutions and custom code within the Azure platform. Along the way, we regularly encounter challenges, limitations, or issues. In those moments, it's incredibly helpful to find solutions online or to have a community that can think along with you. \n Over the past few years, there have been many occasions where I just couldn’t find a solution online for a technical problem with Logic Apps. In these cases, we either came up with a creative solution ourselves or received support from Microsoft. When the integration community faces a similar challenge, it’s pretty much wasteful to tackle the same hurdles again. By documenting an approach or solution, others may be saving their invaluable time looking for a solution. \n Looking back, what advice do you wish you had been given earlier that you'd now share with those looking to get into STEM/technology? \n It is ok that you don’t know everything. Just start doing, experiment, stay curious, challenge yourself, don’t be afraid to ask questions, fail, learn and keep going! \n What has helped you grow professionally? \n I have spent a fair amount of my career at a big consulting firm. I started off as a software engineer all the way up to senior manager and architect. \n A long journey like that gives great and well-dosed opportunities and learning experiences to focus on your technical (in-depth) skillset first, continued by working on you soft skills like consulting, guiding and leading teams, solutioning and architecture. If I had not followed this path at that company, I would not be the person I am now professionally. \n Be ok with the fact that growth doesn’t happen overnight -no shortcuts, no magic pills. It's like a good red wine that needs time to mature. \n So do many challenging projects, become all-round and then choose a specialization, ask for constructive feedback, fail many times and take your time to reflect and learn. And don’t forget to have a strong work ethic and ongoing curiosity to learn new things. \n In the end I found that - from a technological perspective-, quality attributes (the “-illities”), enterprise application integration and scrum made my heart skip a beat. So my advice is to always pursue what brings you joy! \n If you had a magic wand that could create a feature in Logic Apps, what would it be and why? \n Overall, I must say that I’m happy with the current state of Logic Apps. Nevertheless, if I had a magic wand: \n \n I would like to see that the service plans for Logic App standard would be in line with Function Apps. The plans for Function apps have way better tiers from both memory, cores and pricing perspective. And being able to scale out and in based on specific metrics is more flexible than Logic App Standard currently offers. Having more CPU/memory available in the plans would also improve the overall performance of Logic Apps in general, even though performance optimizations of many actions would also be more than welcome. \n What I currently really miss in the HTTP connector (and possibly others) is the ability to have better control over the request timeouts. Even though the setting is there, it is capped to 4 minutes max. In practice, we need to deliver data to external APIs that work synchronously and take more time to complete. Giving better control on these timeouts would make the usability of workflows even better! \n Even though some nice additions to the initialization of variables have been made recently, I would like to see the ability to initialize variables at any point in the workflow. E.g. the foreach loop can be executed in parallel, and therefore the current global variables are not thread-safe, which leads to unexpected behavior. \n \n \n News from our product group \n \n \n \n \n \n Logic Apps Live June 2025 \n Missed Logic Apps Live in June? You can watch it here. We focused on the Logic Apps big announcements from Integrate 2025. There are a lot of great things to check! \n \n \n \n \n \n Feedback Opportunity: SRE Agent + Logic Apps \n Discover the new Applications feature in Azure API Management, enabling OAuth-based access to APIs and products. Streamline secure API access with built-in OAuth 2.0 application-based authorization. \n \n \n \n \n \n Configure SQL Storage for Standard Logic Apps \n Azure Logic Apps traditionally rely on Azure Storage to manage workflow states and runtime data. However, with the introduction of SQL as a storage provider (currently in preview), developers now have a compelling alternative that offers greater control, flexibility, and integration with existing SQL infrastructure. This post explores the benefits, configuration steps, and considerations for using SQL storage with Standard Logic Apps. \n \n \n \n \n \n Announcing General Availability: Azure Logic Apps Standard Automated Test Framework \n We’re excited to announce the General Availability (GA) of the Azure Logic Apps Standard Automated Test Framework—a major step forward in enabling developers to build, test, and maintain enterprise-grade workflows with confidence and agility. \n \n \n \n \n \n Announcing General Availability: Azure Logic Apps Standard Custom Code with .NET 8 \n We’re excited to announce the General Availability (GA) of Custom Code support in Azure Logic Apps Standard with .NET 8. This release marks a significant step forward in enabling developers to build more powerful, flexible, and maintainable integration workflows using familiar .NET tools and practices. \n \n With this capability, developers can now embed custom .NET 8 code directly within their Logic Apps Standard workflows. This unlocks advanced logic scenarios, promotes code reuse, and allows seamless integration with existing .NET libraries and services—making it easier than ever to build enterprise-grade solutions on Azure. \n \n \n \n \n \n Business Process Tracking Reaches General Availability \n Business Process Tracking provides key insights to business stakeholders from your Logic Apps (Standard) implementation in an efficient and timely manner. Today, we are pleased to announce the General Availability of this capability, allowing customers to leverage in their production workloads. \n \n \n \n \n \n Announcement: General Availability of Logic Apps Hybrid Deployment Model \n We’re excited to announce the Public Preview of two major integrations that bring the power of Azure Logic Apps to AI Agents in Foundry – Logic Apps as Tools and AI Agent Service Connector. Learn more on our announcement post! \n \n \n \n \n \n Announcing Public Preview: Organizational Templates in Azure Logic Apps \n We’re excited to announce the Public Preview of Organizational Templates in Azure Logic Apps— empowering teams to author, share, and reuse automation patterns across their organization. \n With this release, we’re also rolling out a brand-new UI experience to easily create templates directly from your workflows—no manual packaging required! \n \n \n \n \n \n OpenTelemetry in Azure Logic Apps (Standard and Hybrid) \n OpenTelemetry provides a unified, vendor-agnostic framework for collecting telemetry data—logs, metrics, and traces—across different services and infrastructure layers. It simplifies monitoring and makes it easier to integrate with a variety of observability backends such as Azure Monitor, Grafana Tempo, Jaeger, and others. \n For Logic Apps—especially when deployed in hybrid or on-premises scenarios—OpenTelemetry is a powerful addition that elevates diagnostic capabilities beyond the default Application Insights telemetry. \n \n \n \n \n \n Logic App Standard - When High Memory / CPU usage strikes and what to do \n Monitoring your applications is essential, as it ensures that you know what's happening and you are not caught by surprise when something happens. One possible event is the performance of your application starting to decrease and processing becomes slower than usual. This may happen due to various reasons, and in this blog post, we will be discussing the High Memory and CPU usage and why it affects your Logic App. We will also observe some possibilities that we've seen that have been deemed as the root cause for some customers. \n \n \n \n \n \n Introducing Agent in a Day \n Agent in a Day represents a fantastic opportunity for customers to participate in hackathon-style contests where attendees learn how to build agents and then can apply them to their unique business use cases. For Partners, Agent in a Day represents a great way to engage your customers by building agents with them and uncovering new use cases. \n \n \n \n \n \n Introducing Confluent Kafka Connector (Public Preview) \n We are pleased to announce the introduction of the Confluent Kafka Connector in Logic Apps (Standard) which allows you to both send and receive messages between Logic Apps and Confluent Kafka. \n Confluent Kafka is a distributed streaming platform for building real-time data pipelines and streaming applications. It is used across many industries including financial services, Omnichannel retail, autonomous cars, fraud detection services, microservices and IoT deployments. \n Our current connector offering supports both triggers (receive) and sending (publish) within Logic Apps. \n \n \n \n News from our community \n Logic App Standard: Throw exceptions like a pro! \n Post by Şahin Özdemir \n Learn how to throw exceptions in Logic App Standard using a simple Compose action—no code needed, just clever workflow design. \n Azure Logic Apps: are you handling large blobs? Keep memory usage under control. \n Post by Stefano Demiliani \n Struggling with large blob files in Logic Apps? Learn how to keep memory usage under control and avoid out-of-memory errors with smart workflow design and a few performance-boosting tricks \n De SOAPing Services SOAP to REST using Azure API Management \n Video by Stephen W Thomas \n Struggling with legacy SOAP integrations from BizTalk to Azure? Check out this video on simplifying SOAP-to-REST conversions using Azure API Management and learn how easily you can manage SOAP envelopes and streamline your Logic Apps integrations! \n Integrating Entra ID and AI Agent workflows in Azure Logic Apps \n Post by Brian Veldman \n Discover how to build AI-powered workflows in Azure Logic Apps that interact with Entra ID, automate tasks, and adapt dynamically using agentic tools and OpenAI models. \n Advanced KQL Queries for Logic Apps in Application Insights: A Practical Guide \n Post by Dieter Gobeyn \n Boost Logic App performance with advanced KQL queries in Application Insights—spot bottlenecks, analyze slow actions, and optimize workflows without upgrading your hosting plan. \n How to Build an AI Agent with Azure Logic Apps \n Post by Cameron McKay \n Learn how to build your first AI Agent in Azure Logic Apps using Agent Loop—connect to OpenAI, design smart prompts, and automate tasks like weather reporting with low-code workflows. \n You Can Now Initialize All Your Variables In One Single Action \n Post by Luis Rigueira \n You can now initialize multiple variables in Logic Apps with a single action—making your workflows cleaner, faster, and easier to manage. It is a Friday Fact, brought to you by Luis Rigueira! \n Integration Insights Podcast: The Future of Integration \n Video by Sagar Sharma and Jochen Toelen \n In this two-part episode of the Integration Insights podcast, Sagar, Joechen and Kent dive into how integration is evolving in a cloud-first world. From BizTalk migrations to hybrid deployments with Azure Arc, they share practical insights and best practices to future-proof your integration strategy. A must-listen! You can watch part 2 here. \n Event Grid vs Service Bus vs Event Hubs vs Storage Queues: Choosing the Right Messaging Backbone in Azure \n Post by Prashant Singh \n Confused by Azure’s messaging options? This guide breaks down Event Grid, Service Bus, Event Hubs, and Storage Queues—helping you choose the right tool for real-time events, telemetry, enterprise workflows, or lightweight tasks. \n IntelliSense in Logic Apps Just Got Smarter – Matching Brackets in the Expression Editor! \n Post by Sandro Pereira \n Logic Apps just got a lot friendlier—bracket matching in the expression editor now highlights pairs as you type, making it easier to write and debug complex expressions.A Friday Fact from Sandro Pereira. \n How to Build Resilient Integrations for Mission-Critical Systems \n Post by Lilan Sameera \n Learn how to build resilient integrations for mission-critical systems using Logic Apps, Service Bus, and Event Hub—ensuring reliable data delivery, smart retries, and clean outputs even under pressure. 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"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA2Njk5LVAyc09zWg?revision=9","title":"clipboard_image-2-1745345768286.gif","associationType":"BODY","width":1920,"height":1080,"altText":""},"BlogTopicMessage:message:4406699":{"__typename":"BlogTopicMessage","subject":"Enhancing AI Integrations with MCP and Azure API Management","conversation":{"__ref":"Conversation:conversation:4406699"},"id":"message:4406699","revisionNum":9,"uid":4406699,"depth":0,"board":{"__ref":"Blog:board:IntegrationsonAzureBlog"},"author":{"__ref":"User:user:1256471"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"","metrics":{"__typename":"MessageMetrics","views":3804},"postTime":"2025-04-22T16:06:49.231-07:00","lastPublishTime":"2025-04-22T16:06:49.231-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" As AI Agents and assistants become increasingly central to modern applications and experiences, the need for seamless, secure integration with external tools and data sources is more critical than ever. The Model Context Protocol (MCP) is emerging as a key open standard enabling these integrations - allowing AI models to interact with APIs, Databases and other services in a consistent, scalable way. \n Understanding MCP \n MCP utilizes a client-host-server architecture built upon JSON-RPC 2.0 for messaging. Communication between clients and servers occurs over defined transport layers, primarily: \n \n stdio: Standard input/output, suitable for efficient communication when the client and server run on the same machine. \n HTTP with Server-Sent Events (SSE): Uses HTTP POST for client-to-server messages and SSE for server-to-client messages, enabling communication over networks, including remote servers. \n \n \n Why MCP Matters \n While Large Language Models (LLMs) are powerful, their utility is often limited by their inability to access real-time or proprietary data. Traditionally, integrating new data sources or tools required custom connectors/ implementations and significant engineering efforts. MCP addresses this by providing a unified protocol for connecting agents to both local and remote data sources - unifying and streamlining integrations. \n Leveraging Azure API Management for remote MCP servers \n Azure API Management is a fully managed platform for publishing, securing, and monitoring APIs. By treating MCP server endpoints as other backend APIs, organizations can apply familiar governance, security, and operational controls. With MCP adoption, the need for robust management of these backend services will intensify. API Management retains a vital role in governing these underlying assets by: \n \n Applying security controls to protect the backend resources. \n Ensuring reliability. \n Effective monitoring and troubleshooting with tracing requests and context flow. \n \n n this blog post, I will walk you through a practical example: hosting an MCP server behind Azure API Management, configuring credential management, and connecting with GitHub Copilot. \n A Practical Example: Automating Issue Triage \n \n To follow along with this scenario, please check out our Model Context Protocol (MCP) lab available at AI-Gateway/labs/model-context-protocol \n \n Let's move from theory to practice by exploring how MCP, Azure API Management (APIM) and GitHub Copilot can transform a common engineering workflow. Imagine you're an engineering manager aiming to streamline your team's issue triage process - reducing manual steps and improving efficiency. \n Example workflow: \n \n Engineers log bugs/ feature requests as GitHub issues \n Following a manual review, a corresponding incident ticket is generated in ServiceNow. \n \n This manual handoff is inefficient and error prone. Let's see how we can automate this process - securely connecting GitHub and ServiceNow, enabling an AI Agent (GitHub Copilot in VS Code) to handle triage tasks on your behalf. \n \n A significant challenge in this integration involves securely managing delegated access to backend APIs, like GitHub and ServiceNow, from your MCP Server. Azure API Management's credential manager solves this by centralizing secure credential storage and facilitating the secure creation of connections to your third-party backend APIs. \n \n Build and deploy your MCP server(s) \n We'll start by building two MCP servers: \n \n GitHub Issues MCP Server\n \n Provides tools to authenticate on GitHub (authorize_github), retrieve user infromation (get_user ) and list issues for a specified repository (list_issues). \n \n \n ServiceNow Incidents MCP Server\n \n Provides tools to authenticate with ServiceNow (authorize_servicenow), list existing incidents (list_incidents) and create new incidents (create_incident). \n \n \n \n \n We are using Azure API Management to secure and protect both MCP servers, which are built using Azure Container Apps. Azure API Management's credential manager centralizes secure credential storage and facilitates the secure creation of connections to your backend third-party APIs. \n \n \n \n \n Client Auth: \n \n You can leverage API Management subscriptions to generate subscription keys, enabling client access to these APIs. \n Optionally, to further secure /sse and /messages endpoints, we apply the validate-jwt policy to ensure that only clients presenting a valid JWT can access these endpoints, preventing unauthorized access. (see: AI-Gateway/labs/model-context-protocol/src/github/apim-api/auth-client-policy.xml) \n \n \n After registering OAuth applications in GitHub and ServiceNow, we update APIM's credential manager with the respective Client IDs and Client Secrets. This enables APIM to perform OAuth flows on behalf of users, securely storing and managing tokens for backend calls to GitHub and ServiceNow. \n \n \n Connecting your MCP Server in VS Code \n With your MCP servers deployed and secured behind Azure API Management, the next step is to connect them to your development workflow. Visual Studio Code now supports MCP, enabling GitHub Copilot's agent mode to connect to any MCP-compatible server and extend its capabilities. \n \n Open Command Pallette and type in MCP: Add Server ... \n \n \n \n Select server type as HTTP (HTTP or Server-Sent Events) \n \n \n \n Paste in the Server URL \n \n \n \n Provide a Server ID \n \n \n This process automatically updates your settings.json with the MCP server configuration. \n \n Once added, GitHub Copilot can connect to your MCP servers and access the defined tools, enabling agentic workflows such as issue triage and automation. You can repeat these steps to add the ServiceNow MCP Server. \n \n Understanding Authentication and Authorization with Credential Manager \n When a user initiates an authentication workflow (e.g, via the authorize_github tool), GitHub Copilot triggers the MCP server to generate an authorization request and a unique login URL. The user is redirected to a consent page, where their registered OAuth application requests permissions to access their GitHub account. Azure API Management acts as a secure intermediary, managing the OAuth flow and token storage. \n \n \n Flow of authorize_github: \n \n \n \n Step 1 - Connection initiation:\n \n GitHub Copilot Agent invokes a sse connection to API Management via the MCP Client (VS Code) \n \n \n Step 2 - Tool Discovery:\n \n APIM forwards the request to the GitHub MCP Server, which responds with available tools \n \n \n Step 3 - Authorization Request:\n \n GitHub Copilot selects and executes authorize_github tool. The MCP server generates an authorization_id for the chat session. \n \n \n Step 4 - User Consent:\n \n If it's the 1st login, APIM requests a login redirect URL from the MCP Server \n The MCP Server sends the Login URL to the client, prompting the user to authenticate with GitHub \n Upon successful login, GitHub redirects the client with an authorization code \n \n \n Step 5 - Token Exchange and Storage:\n \n The MCP Client sends the authorization code to API Management \n APIM exchanges the code for access and refresh tokens from GitHub \n APIM securely stores the token and creates an Access Control List (ACL) for the service principal. \n \n \n Step 6 - Confirmation:\n \n APIM confirms successful authentication to the MCP Client, and the user can now perform authenticated actions, such as accessing private repositories. \n \n \n \n \n Check out the python logic for how to implement it: AI-Gateway/labs/model-context-protocol/src/github/mcp-server/mcp-server.py \n \n Understanding Tool Calling with underlaying APIs in API Management \n \n Using the list_issues tool, \n \n Connection confirmed\n \n APIM confirms the connection to the MCP Client \n \n \n Issue retrieval:\n \n The MCP Client requests issues from the MCP server \n The MCP Server attaches the authorization_id as a header and forwards the request to APIM \n The list of issues is returned to the agent \n \n \n \n \n \n You can use the same process to add the ServiceNow MCP Server. With both servers connected, GitHub Copilot Agent can extract issues from a private repo in GitHub and create new incidences in ServiceNow, automating your triage workflow. You can define additional tools such as suggest_assignee tool, assign_engineer tool, update_incident_status tool, notify_engineer tool, request_feedback tool and other to demonstrate a truly closed-loop, automated engineering workflow - from issue creation to resolution and feedback. \n \n Take a look at this brief demo showcasing the entire end-to-end process: \n \n Summary \n Azure API Management (APIM) is an essential tool for enterprise customers looking to integrate AI models with external tools using the Model Context Protocol (MCP). In this blog, we demonstrated how Azure API Management's credential manager solves the secure creation of connections to your backend APIs. By integrating MCP servers with VS Code and leveraging APIM for OAuth flows and token management, you can enable secure, agenting automation across your engineering tools. This approach not only streamlines workflows like issues triage and incident creation but also ensures enterprise-grade security and governance for all APIs. \n Additional Resources \n Using Credential Manager will help with managing OAuth 2.0 tokens to backend services. \n Client Auth for remote MCP servers: \n \n AZD up: https://aka.ms/mcp-remote-apim-auth \n AI lab Client Auth: AI-Gateway/labs/mcp-client-authorization/mcp-client-authorization.ipynb \n Blog Post: https://aka.ms/remote-mcp-apim-auth-blog \n \n If you have any questions or would like to learn more about how MCP and Azure API Management can benefit your organization, feel free to reach out to us. We are always here to help and provide further insights. Connect with us on LinkedIn (Julia Kasper & Julia Muiruri) and follow for more updates, insights, and discussions on AI integrations and API management. 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Gateway - REST API.gif","associationType":"BODY","width":853,"height":480,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDE1MDEzLUJmbjNPWQ?revision=12\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDE1MDEzLUJmbjNPWQ?revision=12","title":"AI Gateway - APIC Registry.gif","associationType":"BODY","width":853,"height":480,"altText":""},"BlogTopicMessage:message:4415013":{"__typename":"BlogTopicMessage","subject":"Expose REST APIs as MCP servers with Azure API Management and API Center (now in preview)","conversation":{"__ref":"Conversation:conversation:4415013"},"id":"message:4415013","revisionNum":12,"uid":4415013,"depth":0,"board":{"__ref":"Blog:board:IntegrationsonAzureBlog"},"author":{"__ref":"User:user:3024625"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"","metrics":{"__typename":"MessageMetrics","views":5713},"postTime":"2025-05-19T08:24:31.073-07:00","lastPublishTime":"2025-05-19T08:24:31.073-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" As AI-powered agents and large language models (LLMs) become central to modern application experiences, developers and enterprises need seamless, secure ways to connect these models to real-world data and capabilities. Today, we’re excited to introduce two powerful preview capabilities in the Azure API Management Platform: \n \n Expose REST APIs in Azure API Management as remote Model Context Protocol (MCP) servers \n Discover and manage MCP servers using API Center as a centralized enterprise registry \n \n Together, these updates help customers securely operationalize APIs for AI workloads and improve how APIs are managed and shared across organizations. \n \n Unlocking the value of AI through secure API integration \n While LLMs are incredibly capable, they are stateless and isolated unless connected to external tools and systems. Model Context Protocol (MCP) is an open standard designed to bridge this gap by allowing agents to invoke tools—such as APIs—via a standardized, JSON-RPC-based interface. \n With this release, Azure empowers you to operationalize your APIs for AI integration—securely, observably, and at scale. \n 1. Expose REST APIs as MCP servers with Azure API Management \n An MCP server exposes selected API operations to AI clients over JSON-RPC via HTTP or Server-Sent Events (SSE). These operations, referred to as “tools,” can be invoked by AI agents through natural language prompts. \n With this new capability, you can expose your existing REST APIs in Azure API Management as MCP servers—without rebuilding or rehosting them. \n Addressing common challenges \n Before this capability, customers faced several challenges when implementing MCP support: \n \n Duplicating development efforts: Building MCP servers from scratch often led to unnecessary work when existing REST APIs already provided much of the needed functionality. \n Security concerns:\n \n Server trust: Malicious servers could impersonate trusted ones. \n Credential management: Self-hosted MCP implementations often had to manage sensitive credentials like OAuth tokens. \n \n \n Registry and discovery: Without a centralized registry, discovering and managing MCP tools was manual and fragmented, making it hard to scale securely across teams. \n \n API Management now addresses these concerns by serving as a managed, policy-enforced hosting surface for MCP tools—offering centralized control, observability, and security. \n \n Benefits of using Azure API Management with MCP \n By exposing MCP servers through Azure API Management, customers gain: \n \n Centralized governance for API access, authentication, and usage policies \n Secure connectivity using OAuth 2.0 and subscription keys \n Granular control over which API operations are exposed to AI agents as tools \n Built-in observability through APIM’s monitoring and diagnostics features \n \n How it works \n \n MCP servers: In your API Management instance navigate to MCP servers \n Choose an API: + Create a new MCP Server and select the REST API you wish to expose. \n Configure the MCP Server: Select the API operations you want to expose as tools. These can be all or a subset of your API’s methods. \n Test and Integrate: Use tools like MCP Inspector or Visual Studio Code (in agent mode) to connect, test, and invoke the tools from your AI host. \n \n Getting started and availability \n This feature is now in public preview and being gradually rolled out to early access customers. To use the MCP server capability in Azure API Management: \n Prerequisites \n \n Your APIM instance must be on a SKUv1 tier: Premium, Standard, or Basic \n Your service must be enrolled in the AI Gateway early update group (activation may take up to 2 hours) \n Use the Azure Portal with feature flag: ➤ Append ?Microsoft_Azure_ApiManagement=mcp to your portal URL to access the MCP server configuration experience \n \n Note: Support for SKUv2 and broader availability will follow in upcoming updates. Full setup instructions and test guidance can be found via aka.ms/apimdocs/exportmcp. \n 2. Centralized MCP registry and discovery with Azure API Center \n As enterprises adopt MCP servers at scale, the need for a centralized, governed registry becomes critical. Azure API Center now provides this capability—serving as a single, enterprise-grade system of record for managing MCP endpoints. \n With API Center, teams can: \n \n Maintain a comprehensive inventory of MCP servers. \n Track version history, ownership, and metadata. \n Enforce governance policies across environments. \n Simplify compliance and reduce operational overhead. \n \n API Center also addresses enterprise-grade security by allowing administrators to define who can discover, access, and consume specific MCP servers—ensuring only authorized users can interact with sensitive tools. \n To support developer adoption, API Center includes: \n \n Semantic search and a modern discovery UI. \n Easy filtering based on capabilities, metadata, and usage context. \n Tight integration with Copilot Studio and GitHub Copilot, enabling developers to use MCP tools directly within their coding workflows. \n \n These capabilities reduce duplication, streamline workflows, and help teams securely scale MCP usage across the organization. \n \n Getting started \n This feature is now in preview and accessible to customers: \n \n https://aka.ms/apicenter/docs/mcp \n AI Gateway Lab | MCP Registry \n \n 3. What’s next \n These new previews are just the beginning. We're already working on: \n Azure API Management (APIM) \n \n Passthrough MCP server support We’re enabling APIM to act as a transparent proxy between your APIs and AI agents—no custom server logic needed. This will simplify onboarding and reduce operational overhead. \n \n Azure API Center (APIC) \n \n Deeper integration with Copilot Studio and VS Code Today, developers must perform manual steps to surface API Center data in Copilot workflows. We’re working to make this experience more visual and seamless, allowing developers to discover and consume MCP servers directly from familiar tools like VS Code and Copilot Studio. \n \n For questions or feedback, reach out to your Microsoft account team or visit: \n \n Azure API Management documentation \n Azure API Center documentation \n \n — The Azure API Management & API Center Teams ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"6525","kudosSumWeight":4,"repliesCount":6,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuM3wyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDE1MDEzLWRMSW03ZA?revision=12\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuM3wyLjF8b3wyNXxfTlZffDI","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDE1MDEzLXA5WFNadA?revision=12\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuM3wyLjF8b3wyNXxfTlZffDM","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDE1MDEzLXZWeFB2cA?revision=12\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuM3wyLjF8b3wyNXxfTlZffDQ","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDE1MDEzLUJmbjNPWQ?revision=12\"}"}}],"totalCount":4,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":{"__typename":"UploadedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDE1MDEzLWRMSW03ZA?revision=12"},"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:4424484":{"__typename":"Conversation","id":"conversation:4424484","topic":{"__typename":"BlogTopicMessage","uid":4424484},"lastPostingActivityTime":"2025-06-16T16:52:08.513-07:00","solved":false},"User:user:154962":{"__typename":"User","uid":154962,"login":"Sreekanth_Thirthala","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/m_assets/avatars/default/avatar-5.svg?time=0"},"id":"user:154962"},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDI0NDg0LVVUY016Mw?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDI0NDg0LVVUY016Mw?revision=1","title":"CPU percentage of gateway metric.png","associationType":"COVER","width":1889,"height":1062,"altText":""},"BlogTopicMessage:message:4424484":{"__typename":"BlogTopicMessage","subject":"Autoscaling Now Available in Azure API Management v2 Tiers","conversation":{"__ref":"Conversation:conversation:4424484"},"id":"message:4424484","revisionNum":1,"uid":4424484,"depth":0,"board":{"__ref":"Blog:board:IntegrationsonAzureBlog"},"author":{"__ref":"User:user:154962"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"We’re excited to share a major update to Azure API Management: the release of gateway-level metrics and native autoscaling in v2 tiers—Basic v2, Standard v2, and Premium v2. ","metrics":{"__typename":"MessageMetrics","views":399},"postTime":"2025-06-16T16:52:08.513-07:00","lastPublishTime":"2025-06-16T16:52:08.513-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Gateway-Level Metrics: Deep Insight into Performance \n Azure API Management now exposes fine-grained metrics for each Azure API management v2 gateway instance, giving you more control and observability. These enhancements give you deeper visibility into your infrastructure and the ability to scale automatically based on real-time usage—without manual effort. \n Key Gateway Metrics \n \n CPU Percentage of Gateway – Available in Basic v2, Standard v2, and Premium v2 \n Memory Percentage of Gateway – Available in Basic v2 and Standard v2 \n \n These metrics are essential for performance monitoring, diagnostics, and intelligent scaling. \n Native Autoscaling: Adaptive, Metric-Driven Scaling \n With gateway-level metrics in place, Azure Monitor autoscale rules can now drive automatic scaling of Azure API Management v2 gateways. \n How It Works \n You define scaling rules that automatically increase or decrease gateway instances based on: \n \n CPU percentage \n Memory percentage (for Basic v2 and Standard v2) \n \n Autoscale evaluates these metrics against your thresholds and acts accordingly, eliminating the need for manual scaling or complex scripts. \n Benefits of Autoscaling in Azure API management v2 tiers \n Autoscaling in Azure API Management brings several critical benefits for operational resilience, efficiency, and cost control: \n Reliability \n Maintain consistent performance by automatically scaling out during periods of high traffic. Your APIs stay responsive and available—even under sudden load spikes. \n Operational Efficiency \n Automated scaling eliminates manual, error-prone intervention. This allows teams to focus on innovation, not infrastructure management. \n Cost Optimization \n When traffic drops, auto scale automatically scales in to reduce the number of gateway instances—helping you save on infrastructure costs without sacrificing performance. \n Use Case Highlights \n Autoscaling is ideal for: \n \n APIs with unpredictable or seasonal traffic \n Enterprise systems needing automated resiliency \n Teams seeking cost control and governance \n Premium environments that demand always-on performance \n \n Get Started Today \n Enabling autoscaling is easy via the Azure Portal: \n \n Open your API Management instance \n Go to Settings > Scale out (Autoscale) \n Enable autoscaling and define rules using gateway metrics \n Monitor performance in real time via Azure Monitor \n \n Configuration walkthrough: Autoscale your Azure API Management v2 instance ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"2480","kudosSumWeight":0,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuM3wyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDI0NDg0LVVUY016Mw?revision=1\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":{"__typename":"UploadedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDI0NDg0LVVUY016Mw?revision=1"},"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:4415359":{"__typename":"Conversation","id":"conversation:4415359","topic":{"__typename":"BlogTopicMessage","uid":4415359},"lastPostingActivityTime":"2025-06-12T13:52:47.933-07:00","solved":false},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDE1MzU5LWp5UENlZQ?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDE1MzU5LWp5UENlZQ?revision=1","title":"clipboard_image-1-1732113084965.png","associationType":"BODY","width":1964,"height":1020,"altText":""},"BlogTopicMessage:message:4415359":{"__typename":"BlogTopicMessage","subject":"Announcing the open Public Preview of the Premium v2 tier of Azure API Management","conversation":{"__ref":"Conversation:conversation:4415359"},"id":"message:4415359","revisionNum":1,"uid":4415359,"depth":0,"board":{"__ref":"Blog:board:IntegrationsonAzureBlog"},"author":{"__ref":"User:user:154962"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"","metrics":{"__typename":"MessageMetrics","views":876},"postTime":"2025-05-19T12:51:35.688-07:00","lastPublishTime":"2025-05-19T12:51:35.688-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Today, we are excited to announce the public preview of Azure API Management Premium v2 tier. Superior capacity, highest entity limits, unlimited included calls, and the most comprehensive set of features set the Premium apart from other API Management tiers. Customers rely on the Premium tier for running enterprise-wide API programs at scale, with high availability, and performance. \n The Premium v2 tier has a new architecture that eliminates management traffic from the customer VNet, making private networking much more secure and easier to setup. During the creation of a Premium v2 instance, you can choose between VNet injection or VNet integration (introduced in the Standard v2 tier) options. \n New and improved VNet injection \n Using VNet injection in Premium v2 no longer requires any network security groups rules, route tables, or service endpoints. Customers can secure their API workloads without impacting API Management dependencies, while Microsoft can secure the infrastructure without interfering with customer API workloads. In short, the new VNet injection implementation enables both parties to manage network security and configuration setting independently and without affecting each other. \n You can now configure your APIs with complete networking flexibility: force tunnel all outbound traffic on-premises, send all outbound traffic through an NVA, or add a WAF device to monitor all inbound traffic to your API Management Premium v2—all without constraints. \n \n Region availability \n The public preview of the Premium v2 tier is available only in 6 public regions (Australia East, East US2, Germany West Central, Korea Central, Norway East and UK South) and requires creating a new service instance. \n For pricing information and regional availability, please visit the API Management pricing page. \n Learn more \n \n API Management v2 tiers documentation \n API Management v2 tiers FAQ \n API Management overview documentation \n ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"1999","kudosSumWeight":2,"repliesCount":1,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuM3wyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDE1MzU5LWp5UENlZQ?revision=1\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:4420139":{"__typename":"Conversation","id":"conversation:4420139","topic":{"__typename":"BlogTopicMessage","uid":4420139},"lastPostingActivityTime":"2025-06-03T07:32:22.909-07:00","solved":false},"User:user:1521101":{"__typename":"User","uid":1521101,"login":"beenamore","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/dS0xNTIxMTAxLTUwMzM5NGk0MEU3NDZEODAyM0IyNDUx"},"id":"user:1521101"},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDIwMTM5LXVRdmFrQQ?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDIwMTM5LXVRdmFrQQ?revision=1","title":"Forrester TEI APIM.png","associationType":"COVER","width":1560,"height":877,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDIwMTM5LVM3TVI2ZA?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDIwMTM5LVM3TVI2ZA?revision=1","title":"clipboard_image-1-1748960778387.png","associationType":"BODY","width":1600,"height":900,"altText":""},"BlogTopicMessage:message:4420139":{"__typename":"BlogTopicMessage","subject":"Forrester Study Finds 315% ROI with Azure API Management and a Path to AI Readiness","conversation":{"__ref":"Conversation:conversation:4420139"},"id":"message:4420139","revisionNum":1,"uid":4420139,"depth":0,"board":{"__ref":"Blog:board:IntegrationsonAzureBlog"},"author":{"__ref":"User:user:1521101"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"","metrics":{"__typename":"MessageMetrics","views":348},"postTime":"2025-06-03T07:32:22.909-07:00","lastPublishTime":"2025-06-03T07:32:22.909-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" APIs are the engines of modern digital experiences, powering everything from mobile apps to AI copilots. As AI reshapes products, experiences and workflows, APIs have become essential infrastructure. But without the right management strategy, managing APIs at scale can introduce complexity, security risks, and inefficiencies. \n That’s where Azure API Management comes in. It’s a fully managed service that helps you publish, secure, monitor, and scale APIs across clouds, on-premises, and hybrid environments. With deep integration across the Microsoft ecosystem — including Azure OpenAI Service, GitHub Copilot, and Microsoft Defender for APIs — it delivers unmatched efficiency and value. \n Bottom line? A 315% ROI, according to a Forrester study. \n To quantify the business impact, in 2025 Microsoft commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study. The study evaluated the costs, benefits, and risks of adopting Azure API Management, based on interviews with decision-makers from seven organizations across financial services, manufacturing, financial technology, and consumer goods sectors. \n Forrester created a composite organization modeled after these interviews, a $1B global enterprise based in North America, and the results were compelling: 315% ROI over three years driven by faster time to market, reduced legacy costs, improved developer productivity, and preparation for AI and the future. \n From legacy bottlenecks to agile innovation \n Before adopting Azure API Management, the organizations faced common challenges: \n \n Complex, siloed systems \n High integration and maintenance costs \n Low API reuse and poor discoverability \n Inefficient development cycles \n Starting API programs with limited internal support \n Azure API Management helped them turn these challenges into opportunities. \n \n Key quantified benefits over three years \n Based on interviews and Forrester’s financial model, the composite organization experienced the following top benefits: \n \n \n \n 30% more efficient API development and 50% more efficient policy configuration \n Developers saved more than a week per API and an hour per policy, enabling them to reallocate time to higher-value tasks. Total value: $679,000 \n “[With our prior solution,] it took three to four weeks of development. With Azure API Management, it is one week of development. That is the difference.” \n Principal architect, manufacturing \n 5%+ improvement in API and policy reuse \n With Azure API Management and Azure API Center, the composite organization increases its reuse of APIs and API policies. It consolidates and tracks all the APIs it creates, which improves discovery and allows its developers to reuse APIs and API policies instead of creating new ones. Over three years, this translates to $352,000 for the composite organization. \n “Azure API Management is a good tool. It does what it is supposed to do well, and it works well with the Azure ecosystem. We are happy, and we are investing heavily to use it more.” \n Director of data platforms and services, financial technology \n 80% boost in API management and support productivity \n Compared to legacy systems, platform engineers recaptured over 12 hours per API per year, enabling a shift to more strategic work. Total value: $370,000 \n “Every hour saved with Azure API Management is a leverage for a new business case.” \n Senior engineering manager, financial services \n 50% faster time to market, accelerating operating profit \n Instead of taking three months to bring an API initiative to market, the composite organization does this twice as fast in 1.5 months with Azure API Management. Because the developers and IT professionals work more efficiently, the composite earns additional months of recurring revenue and achieves its API-related business goals more quickly. Over three years, this benefit is worth $1.5 million to the composite organization. \n $190K+ saved annually from retiring legacy infrastructure \n By adopting Azure API Management and modernizing, the composite organization progressively retires and consolidates legacy hardware and software. These yield cost savings it can reinvest in other initiatives. Over three years, this benefit is worth $568,000 to the composite organization. \n Strategic advantages beyond the numbers \n While the quantifiable results are impressive, customers also shared unquantified but critical benefits: \n \n Stronger security and governance across hybrid and multi-cloud environments \n Greater API resilience with less downtime and smoother experiences \n Improved developer experience and higher satisfaction across engineering teams \n AI lifecycle governance, with Azure API Management acting as a centralized AI gateway \n Seamless integration across the Microsoft ecosystem, boosting innovation and productivity \n \n Improved AI governance and visibility with a centralized gateway \n As generative AI becomes core to digital transformation, organizations must not only innovate quickly — they must govern AI usage with precision and responsibility. Interviewees emphasized how Azure API Management acted as a centralized AI gateway, helping them securely manage the rising complexity of AI-driven apps. \n With Azure API Management, they gained: \n \n Full visibility into generative AI usage across teams and apps \n Rate-limiting and throttling, preventing unexpected costs or misuse \n Centralized logging and monitoring for compliance and oversight \n Consistent performance and low latency for AI-powered user experiences \n \n \n “We have enforced rate-limiting in nonproduction environment. The rate limit helps us to control the usage pattern so that there is no excess usage with respect to APIs. Azure API Management provides visibility and traceability. That helps us to see the usage pattern and take proactive steps to communicate to the consumers [of AI].” — Cloud data architect, global consumer goods company \n Strengthened security posture and simplified compliance \n Modern digital infrastructure, especially with AI workloads, demands secure, reliable API exposure across hybrid and multi-cloud environments. Organizations in the study reported that Azure API Management significantly improved their security posture and reduced operational risk. \n Key benefits included: \n \n A single secure gateway to all APIs, reducing attack surface \n Always-on protection with automated patching, threat detection, and identity integration \n Built-in integrations with Microsoft security offerings including Microsoft Sentinel, enabling seamless SIEM visibility and faster incident response \n \n \n “We created a single door to get to the APIs, It increased our security posture... [We are] twice as secure.” — Director of data platforms, financial technology firm \n “[The cybersecurity team] is very excited about Azure API Management and it’s rare to say [that team] is excited about a solution. … Microsoft is responsible for keeping security patched,.. and the logs going to our SIEM solution are more seamless….” — Senior engineering manager, financial services company \n These capabilities didn’t just make APIs safer. They also freed up time for engineering and security teams to focus on innovation instead of operational overhead. \n A platform built for the future \n Whether modernizing legacy infrastructure or launching a new API strategy, organizations used Azure API Management to leapfrog challenges and build intelligent, composable applications. The result? Faster time to value. Improved governance. Better developer experience. And a platform ready for the AI era. \n “The main value is flexibility. Azure API Management is a very scalable and resilient solution. It integrates well with the Azure ecosystem, and it supports all the modern paradigms.” — Director of Data Platforms, FinTech \n Ready to realize the impact? \n Whether you're modernizing legacy systems, building new digital experiences, or governing AI workloads, Azure API Management provides a trusted, enterprise-grade platform to support your strategy. \n See how Azure API Management delivered 315% ROI — read the full Forrester TEI study. \n Start building with Azure API Management — try it free today! \n ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"8286","kudosSumWeight":0,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuM3wyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDIwMTM5LXVRdmFrQQ?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuM3wyLjF8b3wyNXxfTlZffDI","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDIwMTM5LVM3TVI2ZA?revision=1\"}"}}],"totalCount":2,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":{"__typename":"UploadedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDIwMTM5LXVRdmFrQQ?revision=1"},"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:4415777":{"__typename":"Conversation","id":"conversation:4415777","topic":{"__typename":"BlogTopicMessage","uid":4415777},"lastPostingActivityTime":"2025-06-03T05:33:35.693-07:00","solved":false},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDE1Nzc3LXZCZDdGNQ?revision=5\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDE1Nzc3LXZCZDdGNQ?revision=5","title":"image.png","associationType":"BODY","width":1347,"height":1007,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDE1Nzc3LVBENGJ3Zw?revision=5\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDE1Nzc3LVBENGJ3Zw?revision=5","title":"register-application.png","associationType":"BODY","width":1115,"height":605,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDE1Nzc3LWN1MEhqQg?revision=5\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDE1Nzc3LWN1MEhqQg?revision=5","title":"image.png","associationType":"BODY","width":1629,"height":549,"altText":""},"BlogTopicMessage:message:4415777":{"__typename":"BlogTopicMessage","subject":"Announcing the Public Preview of the Applications feature in Azure API management","conversation":{"__ref":"Conversation:conversation:4415777"},"id":"message:4415777","revisionNum":5,"uid":4415777,"depth":0,"board":{"__ref":"Blog:board:IntegrationsonAzureBlog"},"author":{"__ref":"User:user:154962"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"We’re excited to announce the public preview of the Applications feature which enables OAuth-based access to your APIs and products.\n\n","metrics":{"__typename":"MessageMetrics","views":1856},"postTime":"2025-05-20T18:56:32.522-07:00","lastPublishTime":"2025-05-20T19:02:06.535-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" API Management now supports built-in OAuth 2.0 application-based access to product APIs using the client credentials flow. This feature allows API managers to register Microsoft Entra ID applications, streamlining secure API access for developers through OAuth 2.0 authorization. \n API publishers and developers can now more effectively manage client identity, access, and authorization flows. \n With this feature: \n \n API managers can identify which products require OAuth authorization by setting a product property to enable application-based access \n API managers can create and manage client applications and assign them access to specific products. \n Developers can see their registered applications in API management developer portal and use OAuth tokens to securely call APIs and products \n OAuth tokens presented in API requests are validated by the API Management gateway to authorize access to the product's APIs. \n \n This feature simplifies identity and access management in API programs, enabling a more secure and scalable approach to API consumption. \n Enable OAuth authorization \n API managers can now identify specific products which are protected by Microsoft Entra identity by enabling \"Application based access\". This ensures that only valid client applications which have a secure OAuth token from Microsoft Entra identity can access the APIs associated with this product. An application is created in Microsoft Entra corresponding to the product, with appropriate app role. \n \n Register client applications and assign products \n API managers can register client applications, identify specific developers as owners of these applications and assign products to these applications. This creates a new application in Microsoft Entra and assigns API permissions to access the product. \n \n Securely access the API using client applications \n Developers can login into API management developer portal and see the appropriate applications assigned to them. They can retrieve the application credentials and call Microsoft Entra to get an OAuth token, use this token to call APIM gateway and securely access the product/API. \n \n \n Preview limitations \n The public preview of the Applications is a limited-access feature. To participate in the preview and enable Applications in your APIM service instance, you must complete a request form. The Azure API Management team will review your request and respond via email within five business days. \n \n Learn more \n \n Securely access product APIs with Microsoft Entra applications \n 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Apps Aviators Newsletter - June 25","conversation":{"__ref":"Conversation:conversation:4419518"},"id":"message:4419518","revisionNum":1,"uid":4419518,"depth":0,"board":{"__ref":"Blog:board:IntegrationsonAzureBlog"},"author":{"__ref":"User:user:1296617"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"","metrics":{"__typename":"MessageMetrics","views":341},"postTime":"2025-06-02T08:00:00.050-07:00","lastPublishTime":"2025-06-02T08:00:00.050-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" In this issue: \n \n Ace Aviator of the Month \n News from our product group \n News from our community \n \n \n Ace Aviator of the Month \n April’s Ace Aviator: Andrew Wilson \n \n What's your role and title? What are your responsibilities? \n I am the Chief Consultancy Officer at Black Marble, a multi-award-winning software company with a big focus on the Microsoft stack. \n I work with a talented team of consultants to help our customers get the most out of Azure. My role is all about enabling organisations to modernise, integrate, and optimise their systems, always with an eye on DevOps best practices. \n I’m involved across most of the software development lifecycle, but my focus tends to lean toward consultations, gathering requirements, and architecting solutions that solve real-world problems. \n I work across a range of areas including application modernisation, BizTalk to Azure Integration Services (AIS) migrations, system integrations, and cloud optimisation. Over time, I've developed a strong focus on Azure, especially around AIS. \n In short, I help bridge the gap between technical possibilities and business needs, making sure the solutions we design are both practical and future-ready. \n Can you give us some insights into your day-to-day activities and what a typical day in your role looks like? \n No two days are quite the same which keeps things interesting! I usually kick things off with a quick plan for the day (and a bit of reshuffling for the week ahead) to make sure we’re focused on what matters most for both customers and the team. \n My time is a mix of customer-facing work, sales conversations with new prospects, and supporting existing clients, whether that’s through solution design, quick fixes, or hands-on consultancy. I’m often reviewing or writing proposals and architectures, and jumping in to support the team on delivery when needed. \n There’s always some active learning in the mix too, reading, experimenting, or spinning up quick ideas to explore better ways of doing things. \n We don’t work in silos at Black Marble, so I’ll often jump in where I can add value, whether or not I’m directly on the project. It’s a real team effort, and that collaboration is a big part of what makes the role so rewarding. \n What motivates and inspires you to be an active member of the Aviators/Microsoft community? \n I’ve always enjoyed the challenge of bringing systems and applications together, there’s something really satisfying about seeing everything click into place and knowing it’s driving real business value \n What makes the Aviators and wider Microsoft community special is that everyone shares that same excitement. It’s a group of people who genuinely care about solving problems, pushing technology forward, and learning from one another. \n Being part of that kind of community is motivating in itself, we’re all collaborating, sharing ideas, and helping shape a better, more connected future. It’s hard not to be inspired when you’re surrounded by people who are just as passionate about the work as you are. \n Looking back, what advice do you wish you had been given earlier that you'd now share with those looking to get into STEM/technology? \n Stay curious, always ask “why,” and don’t be afraid to get things wrong, because you will, and that’s how you learn. Some of the best breakthroughs come after a few missteps (and maybe a bit of head-scratching). \n It’s easy to look around and feel like others have it all figured out, don’t let that discourage you. Everyone’s journey is different, and what looks effortless on the outside often has a lot of trial and error behind it. \n One of the best things about STEM is its diversity, there are so many different roles, paths, and people in this space. Whether you’re hands-on with code, designing systems, or solving data challenges, there’s a place for you. It’s not a one-size-fits-all, and that’s what makes it exciting. \n Most importantly, share what you learn. Even if something’s been “done,” your take on it might be exactly what someone else needs to see to help them get started. \n And yes, imposter syndrome is real, but don’t let it silence you. You belong here just as much as anyone else. \n What has helped you grow professionally? \n A big part of my growth has come from simply committing to continuous learning, whether that’s diving into new tech, attending conferences like Integrate, or being part of user groups where ideas (and challenges) get shared openly. \n I’ve also learned to say yes to opportunities, even when they’ve felt a bit daunting at first. Pushing through the unknown, especially with the support of a great team and community, has led to some of my most rewarding experiences. \n And finally, I try to approach everything with the mindset that I’m someone others can count on. That sense of responsibility has helped me stay focused, accountable, and constantly improving. \n If you had a magic wand that could create a feature in Logic Apps, what would it be and why? \n Wow, what an exciting question! If I had a magic wand, the first thing I’d add is having the option to throw exceptions that can be caught by try-catch scope blocks, this would bring much-needed clarity and flexibility to error handling. It’s a feature that would really help build more resilient and maintainable solutions. \n Then, the ability to break or continue loops, sometimes you need that fine-tuned control to keep your workflows running smoothly without extra workarounds. \n And lastly, full GA support for unit and integration testing, because testing is the backbone of reliable software, and having that baked in would save so much time and stress down the line. \n \n News from our product group \n \n Logic Apps Live May 2025 \n Missed Logic Apps Live in May? You can watch it here. We focused on the Logic Apps big announcements from Microsoft Build 2025. There are a lot of great things to check! \n \n Announcing agent loop: Build AI Agents in Azure Logic Apps \n The era of intelligent business processes has arrived! Today, we are excited to announce agent loop, a groundbreaking new capability in Azure Logic Apps to build AI agents into your enterprise workflows. With agent loop, you can embed advanced AI decision-making directly into your processes – enabling your apps and automation to not just follow predefined steps, but to reason, adapt, and act autonomously towards goals. \n \n Agent Loop Demos \n We announced the public preview of agent loop at Build 2025. Agent Loop is a new feature in Logic Apps to build AI Agents for use cases that span across industry domains and patterns. \n In this article, share with you use cases implemented in Logic Apps using agent loop and other features. \n \n Announcement: Azure Logic Apps Document Indexer in Azure Cosmos DB \n We’re excited to announce the public preview of Azure Logic Apps as a document indexer for Azure Cosmos DB!00 \n With this release, you can now use Logic Apps connectors and templates to ingest documents directly into Cosmos DB’s vector store—powering AI workloads like Retrieval-Augmented Generation (RAG) with ease. \n \n Announcement: Logic Apps connectors in Azure AI Search for Integrated Vectorization \n We’re excited to announce that Azure Logic Apps connectors are now supported within AI Search as data sources for ingestion into Azure AI Search vector stores. This unlocks the ability to ingest unstructured documents from a variety of systems—including SharePoint, Amazon S3, Dropbox and many more —into your vector index using a low-code experience. \n \n Announcement: Power your Agents in Azure AI Foundry Agent Service with Azure Logic Apps \n We’re excited to announce the Public Preview of two major integrations that bring the power of Azure Logic Apps to AI Agents in Foundry – Logic Apps as Tools and AI Agent Service Connector. Learn more on our announcement post! \n \n Codeful Workflows: A New Authoring Model for Logic Apps Standard \n Codeful Workflows expand the authoring and execution models of a Logic Apps Standard, offering developers the ability to implement, test and run workflows using an imperative programming model both locally and in the cloud. \n \n Announcing the General Availability of the Azure Logic Apps Rules Engine \n we are announcing the General Availability of our Azure Logic Apps Rules Engine. A deterministic rules engine runtime based on the RETE algorithm that allows in-memory execution, prioritization, and reevaluation of business rules in Azure Logic Apps. \n \n Integration Environment Update – Unified experience to create and manage alerts \n We’re excited to announce the next milestone in our journey to simplify monitoring across Azure Integration Services. As a follow-up to our earlier preview release on unified monitoring and dashboards, we’re now making it easier than ever to configure alerts for your integration applications. \n \n Automate Invoice data extraction with Logic Apps and Document Intelligence \n This blog post demonstrates how you can use Azure Logic Apps, the new Analyze Document Details action, and Azure OpenAI to automatically convert invoice images into structured data and store them in Azure Cosmos DB. \n \n Log Ingestion to Azure Log Analytics Workspace with Logic App Standard \n Discover how to send logs to Azure Log Analytics Workspace using Logic App Standard for VNet integration. Learn about shared key authentication and HTTP action configuration for seamless log ingestion. \n \n Generating Webhook Action Callback URL with Primary or secondary Access Key \n Learn how to manage Webhook action callback URLs in Azure Logic Apps when regenerating access keys. Discover how to use the accessKeyType property to ensure seamless workflow execution and maintain security. \n \n \n \n \n \n Announcing the Public Preview of the Applications feature in Azure API management \n Discover the new Applications feature in Azure API Management, enabling OAuth-based access to APIs and products. Streamline secure API access with built-in OAuth 2.0 application-based authorization. \n \n \n \n \n \n GA: Inbound private endpoint for Standard v2 tier of Azure API Management \n Today, we are excited to announce the general availability of inbound private endpoint for Azure API management Standard v2 tier. \n Securely connect clients in your private network to the API Management gateway using Azure Private Link. \n \n \n \n \n \n Announcing the open Public Preview of the Premium v2 tier of Azure API Management \n Announcing the public preview of Azure API Management Premium v2 tier. Experience superior capacity, highest entity limits, and unlimited calls with enhanced security and networking flexibility. \n \n \n \n \n \n Announcing Federated Logging in Azure API Management \n Announcing federated logging in Azure API Management. Gain centralized monitoring for platform teams and autonomy for API teams, streamlining API management with robust security and operational visibility. \n \n \n \n \n \n Introducing Workspace Gateway Metrics and Autoscale in Azure API Management \n Introducing workspace gateway metrics and autoscale in Azure API Management. Efficiently monitor and scale your gateway infrastructure with real-time insights and automated scaling for enhanced reliability and cost efficiency. \n \n Introducing Model Logging, Import from AI Foundry, and extended model support in AI Gateway \n Introducing workspace gateway metrics and autoscale in Azure API Management. Efficiently monitor and scale your gateway infrastructure with real-time insights and automated scaling for enhanced reliability and cost efficiency. \n \n Expose REST APIs as MCP servers with Azure API Management and API Center (now in preview) \n Discover how to expose REST APIs as MCP servers with Azure API Management and API Center, now in preview. \n Enhance AI integration with secure, observable, and scalable API operations. \n \n Now in Public Preview: System events for data-plane in API Management gateway \n Announcing the public preview of new data-plane system events in Azure Event Grid for the Azure API Management managed gateway. Gain near-real-time visibility into critical operations, automate responses, and prevent disruptions. \n \n \n \n News from our community \n Agentic AI – A Potential Black Swan Moment in System Integration \n Video by Ahmed Bayoumy \n Discover how Agentic Logic Apps are revolutionizing system integration with AI-driven workflows. Learn how this innovative approach transforms business processes by understanding goals, deciding actions, and using predefined tools for smart orchestration. \n Microsoft Build: Behind the Scenes with Agent Loop Workflow A New Phase in AI Evolution \n Video by Ahmed Bayoumy \n Explore how Agent Loop brings “human in the loop” control to enterprise workflows, on this video by Ahmed, sharing insights directly from Microsoft Build 2025, in a chat with Kent Weare and Divya Swarnkar. \n Microsoft Build 2025: Azure Logic Apps is Now Your AI Agent Superpower! \n Post by Sagar Sharma \n Discover how Azure Logic Apps is transforming AI agent development with new capabilities unveiled at Microsoft Build 2025. Learn about Agent Loop, AI Foundry integration, Document Indexer, and more for intelligent, adaptive workflows. \n Everyone is talking about AI Agents — Here’s how to actually build one that works \n Post by Mateusz Partyka \n Learn how to build effective AI agents with practical strategies and insights. Discover tips on choosing the right tech stack, prototyping fast, managing model costs, and prompt engineering for optimal results. \n Agent Loop | Azure Logic Apps Just Got Smarter \n Post by Andrew Wilson \n Discover Agent Loop in Azure Logic Apps – now in preview - a revolutionary AI-powered integration feature. Enhance workflows with advanced decision-making, context retention, and adaptive actions for smarter automation. \n Step-by-Step Guide to Azure Logic Apps Agent Loop \n Post by Stephen W. Thomas \n Dive into the step-by-step guide for creating AI Agents with Azure Logic Apps Agent Loop – now in preview. Learn to leverage 1300+ connectors, set up OpenAI models, and build intelligent workflows with no-code integration. You can also follow Stephen’s video tutorial \n Confessions of a Control Freak: How I Learned to Love Low Code (with Logic Apps) \n Post by Peter Mugisha \n Discover how a self-confessed control freak learned to embrace low-code development with Azure Logic Apps. From skepticism to advocacy, explore the journey of efficient integration and streamlined workflows. \n Logic Apps Standard vs. Large Files: Common Hurdles and How to Beat Them \n Post by Şahin Özdemir \n Learn how to overcome common hurdles when handling large files in Logic Apps Standard. Discover strategies for scaling, offloading memory-intensive operations, and optimizing performance for efficient integration. \n There is a new-new Data Mapper for Logic App Standard \n Post by Sandro Pereira \n Discover the new Data Mapper for Logic App Standard, now in public preview. Enjoy a modern BizTalk-style mapper with code-first, schema-aware experience, supporting XSLT 3.0, XSD, and JSON schemas for efficient data mapping! A Friday Fact from Sandro Pereira. \n The name of When a HTTP request is received trigger affects the workflow URL \n Post by Sandro Pereira \n Discover how the name of the \"When a HTTP request is received\" trigger affects the workflow URL in Azure Logic Apps. Learn best practices to avoid integration issues and ensure consistent endpoint paths. \n Changing APIM Operations Doesn’t Update their PathTemplate \n Post by Luis Rigueira \n Learn how to handle PathTemplate issues in Azure Logic Apps Standard when switching APIM operations. Ensure correct endpoint paths to avoid misleading results and streamline your workflow. It is a Friday Fact, brought to you by Luis Rigueira! 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API Center: Your Comprehensive API Inventory and Governance Solution","conversation":{"__ref":"Conversation:conversation:4125146"},"id":"message:4125146","revisionNum":15,"uid":4125146,"depth":0,"board":{"__ref":"Blog:board:IntegrationsonAzureBlog"},"author":{"__ref":"User:user:1256471"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" \n ","introduction":"","metrics":{"__typename":"MessageMetrics","views":8517},"postTime":"2024-05-06T08:30:00.030-07:00","lastPublishTime":"2024-05-06T13:45:49.371-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":"\n In today’s API-first digital ecosystem, organizations are challenged with an ever-expanding network of APIs. This proliferation - known as API sprawl - poses significant challenges in API governance, security, compliance, and reuse. Without a centralized inventory, APIs can become isolated, leading to poor API reuse, lack of alignment with organizational API design and organizational processes, as well as increased vulnerability to security breaches. \n \n Azure API Center provides centralized API inventory for seamless API discovery, reuse, and governance regardless of API type, lifecycle stage, or deployment location. We are excited to share that Azure API Center is now Generally Available (GA)! Azure API Center addresses a critical need for centralized API inventory, ensuring that the extraordinary growth of APIs enhances rather than hinders the development process: \n \n \n \n Build a complete and current catalog of all APIs - regardless of their type, stage in their lifecycle, or deployment location - to enable API discovery, consumption, and governance. \n \n \n Enable API best practices at-scale and enforce API design rules across your organization to empower API developers to create APIs in line with these standards, ensuring quality and uniformity across all APIs produced. \n \n \n Foster reusability of your APIs by enabling API consumers to quickly discover and consume the right APIs. \n \n \n Improve API producer and consumer developer experience with our Visual Studio Code extension. \n \n \n Build a Complete & Current API Inventory \n API Center enables organization to build a complete and current API inventory, granting API platform teams enhanced transparency and governance over the API ecosystem. APIs in API Center contain built-in metadata including API title, description, type, lifecycle stage, and owner, in addition to information on versions, deployments, and specification definitions. \n \n \n \n Build a complete API inventory tailored to organizational needs and requirements using the Azure portal, Azure CLI, or Visual Studio Code. \n \n \n Accelerate cataloging for APIs in Azure API Management with the capability to import from Azure API Management into API Center via a single CLI command. This enables the establishment of a centralized API Center across various distinct API Management services. \n \n \n Maintain an up-to-date API inventory aligned with API progression through CI/CD pipelines in GitHub and Azure DevOps. \n \n \n Supplement API Center's built-in metadata with additional custom metadata to monitor essential API information specific to the organization, including source control repositories, business units, or API process milestones like security reviews. \n \n \n Search and filter within the Azure portal’s API catalog to oversee the API inventory, details, and enforce governance rules (such as all preview APIs requiring completion of security review). \n \n \n At-Scale API Governance \n \n As the number of APIs in your organization scales, it becomes more difficult to ensure APIs follow a common API design philosophy. API Center makes it easy to enforce API design best practices across your organization: \n \n \n Enforce API design consistency across your organization with API Analysis. Azure API Center provides governance tooling that checks API consistency and compliance with design standards across all APIs. This includes automated reports on all your RESTful APIs, ensuring that your APIs adhere to best practices and industry standards. API Analysis performs a thorough analysis of all API definitions, identifying potential issues and suggesting improvements. This preemptive approach to API quality enhances the reliability of your API landscape. \n Customize API design rules to ensure every API complies with your organization's specific standards and practices. Custom rules enable API platform teams to ensure APIs are high-quality, follow consistent design principles, and follow security best-practices by building your own rules or leveraging the large ecosystem of existing open-source rulesets. \n \n \n \n Streamline Your Development: Improving Your API Developer Experience \n With the demand for applications in most organizations outpacing team bandwidth to deliver those applications, fostering API discovery and consumption is key to maximizing development productivity and reducing development time and cost. \n \n API Center's Visual Studio Code extension makes it easy for API consumers to quickly discover, try, and consume APIs from your organization's API catalog: \n \n \n \n \n Browse and search the organizational API catalog to find the right API, fast. Developers can discover APIs in the flow of how they already work - inside Visual Studio Code - to facilitate API reuse. \n View API documentation inline directly within Visual Studio Code. \n Try and test APIs using industry-standard tools like REST Client allowing for immediate testing and experimentation. \n Generate language-idiomatic SDKs for your developer's language of choice, including C#, Java, JavaScript, TypeScript, Python, and more. SDK generation is powered by Microsoft Kiota - the same engine that powers SDKs for many Microsoft products, including GitHub SDKs. \n \n \n \n \n To maximize success of your API governance efforts, it's critical to shift-left governance early into the API development cycle. This approach allows developers to create APIs correctly from the beginning, saving them from wasted development effort mitigating non-compliant APIs later in the development process. API Center's Visual Studio Code experience includes critical capabilities for API developers including: \n \n \n Evaluating API designs against organizational rules as the API is developed in Visual Studio Code. Set an active API style guide, based on previously defined organizational governance rules. Once the style guide is active, any OpenAPI or AsyncAPI-based specification file opened will automatically trigger a linting operation. Results are shown inline in the Visual Studio Code editor and in the Problems window. \n \n \n \n \n As APIs evolve, changes can inadvertently break existing functionalities. Early detection of breaking changes ensures that APIs remain reliable and function as expected, preserving the trust of end-users and stakeholders. The API Center extension includes breaking change detection for OpenAPI specifications, allowing developers to choose two API specification documents to compare and highlights any breaking changes directly in the editor for easy identification and resolution. \n \n Many API programs focus exclusively on API platform teams. Success of API programs relies on developer buy-in, and the API Center extension for Visual Studio Code ensures API producers and consumers are successful with your organization's API platform. \n \n \n \n \n \n Elevating API Discovery with the API Center Portal \n \n \n API Center Portal is a web portal that empowers developers and stakeholders to seamlessly discover and engage with APIs. Our reference implementation of the API Center portal enables API platform teams to provide a web-based API discovery and consumption experience to API consumers. \n \n \n Browse, filter, and search for APIs in your API catalog. Explore API definitions by downloading and importing them into your favorite developer tools (like Postman) or opening in the API Center extension for Visual Studio Code. \n Flexibility to deploy to any cloud hosting environment, or with one step to Azure Static Web Apps. The API Center Portal can be deployed in a single step using GitHub Actions to Azure Static Web Apps. Leverage the power of Azure to refine the portal to the unique hosting needs of your team, including private links and custom domains. Of course, the API Center Portal can be deployed to whatever cloud stack works best for your team. \n Make the API Center Portal your own. The API Center portal is open-source and powered by React to enable you to customize the portal to fit your organization's needs. \n \n API Center Portal is yet another great option for API discovery for organizations that prefer to enable web-based discovery and consumption experiences for APIs. \n \n \n \n Unlock Innovation: Get started with Azure API Center now! \n \n \n \n Azure API Center is now generally available, offering a great suite of tools for API inventory and governance. As a key resource for organizations, it enables the full utilization of APIs to drive innovation and operational efficiency. Join the API revolution - Don’t miss out on the opportunity to transform your digital strategy. With Azure API Center, you’re not just adopting a service; you’re embracing an API-first strategy to innovation. Get started today! \n \n \n \n Share Your Thoughts! Your insights are invaluable to us. We're eager to hear what you think about Azure API Center and to understand your needs. Is there something specific that would make you and your organization even more successful? Your feedback is the key to our continuous improvement. \n \n If you prefer a more personal touch, feel free to reach out via LinkedIn to our product team at Julia Kasper | LinkedIn, Pierce Boggan | LinkedIn. Thank you for being a part of our journey! \n \n \n \n \n \n \n \n \n \n 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