Logic Apps Aviators Newsletter - February 2026
In this issue: Ace Aviator of the Month News from our product group News from our community Ace Aviator of the Month February 2026’s Ace Aviator: Camilla Bielk What's your role and title? What are your responsibilities? I’m a developer and solution architect, working as a consultant (at XLENT) in teams involved across the integration lifecycle—from understanding business needs and building new solutions to operations. Previously I worked a lot with BizTalk and with customers using both Azure and BizTalk. In my current role, I work exclusively with Azure. Can you give us some insights into your day-to-day activities and what a typical day in your role looks like? A typical day starts by syncing operational status with the team to ensure everything is running as expected (Logic Apps, Service Bus, Functions, API Management, etc.) and discussing any findings from the previous day. Then I continue with ongoing work, ranging from stakeholder meetings and designing new integration flows to C# development, operations, and maintenance of the existing landscape. I enjoy being involved across the entire chain. Working closely with operational issues provides valuable input into design decisions, and vice versa, which strengthens me as a designer and architect. What motivates and inspires you to be an active member of the Aviators/Microsoft community? The openness to feedback and knowledge sharing from both community developers and the product team motivates me to stay active, continuously learn, and become the best consultant I can be. Passing knowledge to new team members is rewarding and completes the circle. Integration conferences are inspiring - networking with amazing people and discussing the technology we use every day. That’s also why we started the Nordic Integration Summit: to give more people the chance to take part in such an inspiring event. 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? Your social skills are more valuable than you might think. Teamwork is everything, and understanding business needs—even from non-technical colleagues—is just as important as technology. Listen to your heart and find environments where you can thrive. Programming languages change over time; the real takeaway is mastering common concepts and patterns and developing the ability to learn continuously. Stay curious and embrace new things as they come! What has helped you grow professionally? 100% of my professional growth comes from working with kind, humble, and collaborative people—teams where knowledge is shared freely in all directions, mistakes are allowed, and learning from them is encouraged. If you had a magic wand that could create a feature in Logic Apps, what would it be and why? Better cost transparency—clearly showing which actions drive costs (executions, retries, data volume, logging) with visibility before production deployment. Design-time guidance that warns about expensive operations, anti-patterns, and inefficient configurations. News from our product group Introducing Unit Test Agent Profiles for Logic Apps & Data Maps Focused unit test agent profiles help Logic Apps Standard teams discover workflows and data maps, write reusable specifications, generate typed mocks/test data, and implement MSTest suites against the Automated Test SDK. The approach promotes spec-first testing, consistent artifacts, and reliable validations across scenarios (happy path, error handling, boundaries). The project demonstrates how GitHub Copilot custom agents and prompts can accelerate unit test authoring while enforcing constraints for maintainability in enterprise integrations. Automated Test Framework - Missing Tests in Test Explorer If Logic Apps Standard tests disappear from VS Code’s Test Explorer, the cause is typically a MSTest version mismatch introduced by a recent C# DevKit update. The fix is to update package references in the project (MSTest, Test SDK, and related dependencies) to supported versions. After adjusting packages and restarting VS Code, tests reappear and run as expected. The extension is being updated, but existing projects should apply the manual changes to restore a stable testing experience. Upcoming Agentic Azure Logic Apps Workshops Free workshops introduce Agentic Business Processes in Azure Logic Apps, including MCP Server integrations and agent loop patterns. Sessions cover connecting the enterprise with MCP Servers from Copilot Studio and building agentic workflows in a day using Logic Apps (Standard). Registration links are provided, with dates set in January. These events help practitioners explore agent tools, orchestration patterns, and practical scenarios for intelligent automation in modern integration landscapes. News from our community Enterprise AI ≠ Copilot Post by Al Ghoniem, MBA Deploying Copilot is not the same as building an enterprise AI strategy. This article distinguishes between adopting a product versus developing a core organizational capability. It explores why many AI rollouts stall when treated as point solutions and outlines what it takes to embed AI as a strategic, scalable function across the enterprise. For leaders evaluating their AI roadmaps, this piece offers a framework for thinking beyond tools toward sustainable transformation. BizTalk Server and WinSCP Error Post by Sandro Pereira A common SFTP adapter issue resurfaces when BizTalk Server cumulative updates are applied. This troubleshooting guide explains why the WinSCPnet assembly fails to load after upgrading from CU5 to CU6 and provides a version compatibility matrix for BizTalk Server 2020. It includes step-by-step instructions to resolve the error by copying the correct WinSCP binaries to the BizTalk installation folder, along with an automated PowerShell script for streamlined remediation. More on finding application registrations used by Logic Apps Post by Mikael Sand Building on earlier work around API connection discovery, this post extends KQL queries to find Logic Apps that authenticate via Client ID and secret in HTTP actions. Using Azure Resource Graph Explorer, the technique scans workflow parameters to identify application registration references. While the approach assumes parameters are used for credentials, it provides a practical method for auditing which Logic Apps depend on a given app registration across subscriptions. MCP Servers in Azure Logic Apps Agent Loops (Step-by-Step) Video by Stephen W. Thomas This walkthrough demonstrates how to move tool logic out of Logic App Agent loops and into reusable Model Context Protocol servers. The video covers setting up an MCP server, registering tools, and invoking them from within an agent workflow. By decoupling tool definitions from orchestration logic, developers can build modular, maintainable agentic systems that scale across multiple workflows and scenarios. From Rigid Choreography to Intelligent Collaboration: Agentic Orchestration as the Evolution of SOA Post by Steef-Jan Wiggers Integration has evolved from rigid, deterministic workflows to adaptive, goal-driven orchestrations powered by intelligent agents. This article traces the journey from BizTalk-era SOA composites to modern agentic patterns, explaining how AI-enabled orchestrators dynamically plan, self-correct, and communicate intent rather than follow fixed sequences. With examples from Azure Logic Apps Agent Loop, it shows how integration professionals can leverage existing connectors and APIs as tools within reasoning-based architectures. Azure Integrations That Actually Work in Production Post by Devarajan Gurusamy Architecture diagrams often look perfect in presentations but fail under real-world conditions. This article examines what it takes to build Azure integrations that survive production workloads, covering resilience patterns, error handling strategies, and operational considerations that separate proof-of-concepts from enterprise-grade solutions. It offers practical guidance for teams moving beyond demos toward reliable, maintainable integration implementations. Configuring BizTalk Server Backup Jobs for Azure Blob Storage Post by Sandro Pereira Modernizing BizTalk infrastructure can start with small, targeted improvements. This guide shows how to redirect native BizTalk backup jobs to Azure Blob Storage using SQL Server’s BACKUP TO URL feature. It covers generating SAS tokens, creating SQL credentials, updating job steps, and validating backups. The approach improves disaster recovery posture with geo-redundant cloud storage while keeping the BizTalk environment unchanged—no new components or custom code required. Building an AI Agent with Logic Apps Consumption and Agent Loop Post by Stephen W. Thomas Logic Apps Consumption with AgentLoop offers a fast path to practical AI agents, particularly for experimentation and low-volume workloads. This post walks through building a stateful poker-playing agent, demonstrating tool orchestration, agent instructions, and execution tracing. It compares Consumption and Standard tiers, explores cost efficiency, and shows how to offload reasoning to external models. At roughly a dollar for 25 runs, it’s an accessible entry point for agentic development. Microsoft Agent Framework Post by Al Ghoniem, MBA Microsoft’s open-source Agent Framework provides a comprehensive toolkit for building, orchestrating, and deploying AI agents in Python and .NET. It features graph-based workflows with streaming and checkpointing, multi-agent patterns, built-in observability via OpenTelemetry, and support for multiple LLM providers. The repository includes quickstart samples, migration guides from Semantic Kernel and AutoGen, and experimental labs for benchmarking and reinforcement learning. Storage Account: You do not have permissions to list the data using your user account with Entra ID Post by Sandro Pereira Being an Owner of an Azure Storage Account does not automatically grant access to its data. This common confusion trips up many developers working with Logic Apps and blob storage. The article explains the distinction between management roles and data-plane permissions, then walks through assigning Storage Blob Data roles via Access Control (IAM) to resolve the “You do not have permissions” error when authenticating with Microsoft Entra ID. Using Office 365 Outlook Connector in Logic Apps Standard Post by Srikanth Gunnala When configuring Office 365 Outlook (V2) with Managed Identity in Logic Apps Standard, the workflow designer may fail to auto-bind existing API connections—even when runtime works correctly. This post details the issue, explaining how a null referenceName in the workflow JSON causes the trigger to appear unbound. The fix involves manually setting the connection reference name in the workflow definition, after which the designer immediately recognizes the connection. Inside Logic Apps Standard: Understanding Compute Units (CU) for Storage Scaling Post by Daniel Jonathan High-volume Logic Apps can hit Azure Storage throttling limits. This deep-dive explains how Compute Units enable horizontal storage scaling by distributing workflow execution data across up to 32 storage accounts. It covers CU routing via Run ID suffixes, table distribution patterns, and configuration via host.json. Understanding this architecture is essential for building monitoring tools, querying run histories programmatically, or troubleshooting performance at scale. E59 - Roles & Personas Video by Sebastian Meyer This episode recaps highlights from SAP TechEd and Microsoft Ignite, with a focus on the SAP Innovation Guide and Logic Apps announcements. It explores roles and personas in the integration space, discussing how different team members contribute to enterprise integration projects. The conversation provides context for practitioners following both SAP and Microsoft ecosystems and offers insights into recent platform developments relevant to hybrid integration scenarios. Architecting Trust: Leveraging Microsoft Foundry to Solve AI Governance Challenges Post by Kent Weare As organizations scale AI deployments, governance becomes critical. This article explores how Microsoft Foundry addresses common AI governance challenges including model management, access controls, auditability, and compliance. It outlines architectural patterns for building trust into AI systems from the ground up and provides guidance for teams navigating the balance between innovation velocity and responsible AI practices in enterprise environments.Introducing Unit Test Agent Profiles for Logic Apps & Data Maps
I did some experimentation this week with GitHub Copilot custom agents and custom prompts. The result was a couple of agents to help with creation of unit tests for Logic Apps Standard workflows and data maps. These agent profiles are designed to keep test artifacts consistent and maintainable by separating discovery, specification, data generation, and implementation. Specifications serve as the single source of truth; generated code and data follow from the specs. Discover: Enumerate workflows/maps, triggers/actions, dependencies, and control flow to build a testability inventory. Spec (Speckit): Write reusable test specifications (intent, inputs/mocks, expected outcomes) stored in a predictable location. Cases: Design scenario catalogs with categories (Happy Path, Error Handling, Boundary Conditions, etc.). Test Data: Generate typed mocks (Logic Apps) or input/expected data files (Data Maps) per scenario. Implement: Produce MSTest code against the Automated Test SDK on net8.0, enforcing strict constraints for reliability. Project Batch: Run operations across all workflows/maps with pre-checks, scaffolding verification, and summary reporting. ℹ️ You can find this project on GitHub: https://github.com/wsilveiranz/logicapps-unittest-custom-agent. This is an example of how those agents can be created using what is available in GitHub Copilot, so feel free to fork it and adjust it to your own requirements. Agent Profiles Available Logic Apps Workflow Unit Test Author Specialist agent for authoring Logic Apps Standard workflow unit tests using MSTest (net8.0) and the Automated Test SDK. Produces spec-first test cases, typed mocks, and runnable MSTest implementations. How It Works Discover workflows: Locate workflow.json, summarize triggers/actions, and identify external dependencies to mock. Spec-first: Write reusable specs capturing intent, mock plan, inputs, and expected outcomes. Create cases: Build scenario catalogs (Happy Path, Error Handling, Boundary Conditions, etc.). Generate test data: Produce typed MockOutput and ActionMock classes instances mapped to action names. This step is optional, as implementation will create test data if not available. Implement tests: Generate MSTest code enforcing SDK constraints and required annotations. Validate: Build and run tests; refine specs and data as needed. Batch (optional): Apply the flow across all workflows once scaffolding is verified. Skill Description Prompt File Discover Workflows Discover workflow definitions, summarize triggers/actions, and produce a mock inventory. .github/prompts/la-unit-tests-discover.prompt.md Create Test Cases Create unit test cases from a workflow definition; define intent, inputs, mock plan, and expected outcomes. .github/prompts/la-unit-tests-create-cases.prompt.md Write Speckit Specs Write and maintain Speckit-style specification documents for reusable scenarios. .github/prompts/la-unit-tests-speckit-specs.prompt.md Implement Tests Implement MSTest unit tests using the Automated Test SDK with enforced constraints. .github/prompts/la-unit-tests-implement.prompt.md Generate Test Data Generate trigger/action mock payloads and typed outputs for success and failure variants. .github/prompts/la-unit-tests-generate-test-data.prompt.md Project Batch Execute project-wide operations with scaffolding verification and roll-up reporting. .github/prompts/la-unit-tests-project-batch.prompt.md Logic Apps Data Map Unit Test Author Specialist agent for authoring Data Map unit tests from LML or XSLT using MSTest (net8.0). Produces spec-first test cases, sample input/expected data, and MSTest implementations. How It Works Discover data maps: Locate Artifacts/MapDefinitions/*.lml and Artifacts/Maps/*.xslt; summarize transformations and schema requirements. Spec-first: Write reusable specs capturing intent, input data, expected output, and validation criteria. Create cases: Build scenario catalogs (Happy Path, Empty/Missing, Boundary Values, Special Characters, Large Data, etc.). Generate test data: Produce representative input files and expected output files aligned to schemas and mapping rules. This step is optional, as implementation will create test data if not available. Implement tests: Generate MSTest classes using DataMapTestExecutor. Validate: Build and run tests; refine specs and data as needed. Batch (optional): Apply the flow across all maps; verify project scaffolding first. Skill Description Prompt File Discover Data Maps Discover LML/XSLT maps and schemas; summarize transformation structure and complexity. .github/prompts/dm-unit-tests-discover.prompt.md Create Test Cases Design scenarios covering happy path, edge cases, and error handling. .github/prompts/dm-unit-tests-create-cases.prompt.md Write Speckit Specs Write and maintain Speckit-style specs with mapping rules and validations. .github/prompts/dm-unit-tests-speckit-specs.prompt.md Implement Tests Implement MSTest suites using DataMapTestExecutor with required defaults. .github/prompts/dm-unit-tests-implement.prompt.md Generate Test Data Generate input and expected output files matched to map rules and schemas. .github/prompts/dm-unit-tests-generate-test-data.prompt.md Project Batch Execute project-wide operations with scaffolding and summary reporting. .github/prompts/dm-unit-tests-project-batch.prompt.md FAQ Why Speckit-style specs? Specs are human-readable contracts that drive consistent test implementation across teams and time. They decouple scenario design from code generation, improving reuse. Can I run batch operations? Yes. Use the project-batch profiles to orchestrate discovery and implementation across all workflows/maps once scaffolding is verified. What if scaffolding is missing? The Implement and Project Batch agents will stop and report the exact folders/files you need to create (via the Logic Apps Designer’s Create Unit Test command or manual steps).
Announcing the General Availability (GA) of the Premium v2 tier of Azure API Management
Superior capacity, highest entity limits, unlimited included calls, and the most comprehensive set of features set the Premium v2 tier apart from other API Management tiers. Customers rely on the Premium v2 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. In addition, today we are also adding three new features to Premium v2: Inbound Private Link: You can now enable private endpoint connectivity to restrict inbound access to your Premium v2 instance. It can be enabled along with VNet injection or VNet integration or without a VNet. Availability zone support: Premium v2 now supports availability zones (zone redundancy) to enhance the reliability and resilience of your API gateway. Custom CA certificates: Azure API management v2 gateway can now validate TLS connections with the backend service using custom CA certificates. New and improved VNet injection Using VNet injection in Premium v2 no longer requires configuring routes 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 settings independently and without affecting each other. You can now configure your APIs with complete networking flexibility: force tunnel all outbound traffic to 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. Inbound Private Link Customers can now configure an inbound private endpoint for their API Management Premium v2 instance to allow your API consumers securely access the API Management gateway over Azure Private Link. The private endpoint uses an IP address from an Azure virtual network in which it's hosted. Network traffic between a client on your private network and API Management traverses over the virtual network and a Private Link on the Microsoft backbone network, eliminating exposure from the public internet. Further, you can configure custom DNS settings or an Azure DNS private zone to map the API Management hostname to the endpoint's private IP address. With a private endpoint and Private Link, you can: Create multiple Private Link connections to an API Management instance. Use the private endpoint to send inbound traffic on a secure connection. Apply different API Management policies based on whether traffic comes from the private endpoint. Limit incoming traffic only to private endpoints, preventing data exfiltration. Combine with inbound virtual network injection or outbound virtual network integration to provide end-to-end network isolation of your API Management clients and backend services. More details can be found here Today, only the API Management instance’s Gateway endpoint supports inbound private link connections. Each API management instance can support at most 100 Private Link connections. Availability zones Azure API Management Premium v2 now supports Availability Zones (AZ) redundancy to enhance the reliability and resilience of your API gateway. When deploying an API Management instance in an AZ-enabled region, users can choose to enable zone redundancy. This distributes the service's units, including Gateway, management plane, and developer portal, across multiple, physically separate AZs within that region. Learn how to enable AZs here. CA certificates If the API Management Gateway needs to connect to the backends secured with TLS certificates issued by private certificate authorities (CA), you need to configure custom CA certificates in the API Management instance. Custom CA certificates can be added and managed as Authorization Credentials in the Backend entities. The Backend entity has been extended with new properties allowing customers to specify a list of certificate thumbprints or subject name + issuer thumbprint pairs that Gateway should trust when establishing TLS connection with associated backend endpoint. More details can be found here. Region availability The Premium v2 tier is now generally available in six public regions (Australia East, East US2, Germany West Central, Korea Central, Norway East and UK South) with additional regions coming soon. For pricing information and regional availability, please visit the API Management pricing page. Learn more API Management v2 tiers FAQ API Management v2 tiers documentation API Management overview documentationLogic Apps Aviators Newsletter - January 2026
In this issue: Ace Aviator of the Month News from our product group Community Playbook News from our community Ace Aviator of the Month January's Ace Aviator: Sagar Sharma What's your role and title? What are your responsibilities? I’m a cross-domain Business Solution Architect specializing in delivering new business capabilities to customers. I design end-to-end architectures specially on Azure platforms and also in the Integration domain using azure integration services. My role involves marking architectural decisions, defining standards, ensuring platform reliability, guiding teams, and helping organizations transition from legacy integration systems to modern cloud-native patterns. Can you give us some insights into your day-to-day activities and what a typical day in your role looks like? My day usually blends architecture work with hands-on collaboration. I review integration designs, refine patterns, help teams troubleshoot integration flows, and ensure deployments run smoothly through DevOps pipelines. A good part of my time is spent translating business needs into integration patterns and making sure the overall platform stays secure, scalable, and maintainable. What motivates and inspires you to be an active member of the Aviators/Microsoft community? The community has shaped a big part of my career. Many of my early breakthroughs came from blogs, samples, and talks shared by others. Contributing back feels like closing the loop. I enjoy sharing real-world lessons, learning from peers, and helping others adopt integration patterns with confidence. The energy of the community and the conversations it creates keep me inspired. 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? Focus on core concepts—messaging, APIs, security, and distributed systems—because tools evolve, but fundamentals stay relevant. Share your learning early, even if it feels small. Be curious about the “why” behind patterns. Build side projects, not just follow tutorials. And don’t fear a nonlinear career path—diverse experience is an asset in technology. What has helped you grow professionally? Hands-on customer work, strong mentors, and consistent learning habits have been key. Community involvement—writing, speaking, and collaborating—has pushed me to structure my knowledge and stay current. And working in environments that encourage experimentation has helped me develop faster and with more confidence. If you had a magic wand that could create a feature in Logic Apps, what would it be and why? I’d love to see a unified, out-of-the-box business transaction tracing experience across Logic Apps, Service Bus, APIM, Functions, and downstream services. Something that automatically correlates events, visualizes the full journey of a transaction, and simplifies root-cause analysis. This would make operational troubleshooting dramatically easier in enterprise environments. News from our product group Microsoft BizTalk Server Product Lifecycle Update BizTalk Server 2020 will be the final release, with support extending through 2030. Microsoft encourages a gradual transition to Azure Logic Apps, offering migration tooling, hybrid deployment options, and reuse of existing BizTalk artifacts. Customers can modernize at their own pace while maintaining operational continuity. Data Mapper Test Executor: A New Addition to Logic Apps Standard Test Framework The Data Mapper Test Executor adds native support for testing XSLT and Data Mapper transformations directly within the Logic Apps Standard test framework. It streamlines validation, improves feedback cycles, and integrates with the latest SDK to enable reliable, automated testing of map generation and execution. Announcing General Availability of AI & RAG Connectors in Logic Apps (Standard) Logic Apps Standard AI and RAG connectors are now GA333, enabling native document processing, semantic search, embeddings, and agentic workflows. These capabilities let teams build intelligent, context‑aware automations using their own data, reducing complexity and enhancing decisioning across enterprise integrations. Logic Apps Labs The Logic Apps Labs, which introduces Azure Logic Apps agentic workflows learning path, offering guided modules on building conversational and autonomous agents, extending capabilities with MCP tools, and orchestrating multi‑agent workflows. It serves as a starting point for hands‑on labs covering design, deployment, and advanced patterns for intelligent automation. News from our community Handling Empty SQL Query Results in Azure Logic Apps Post by Anitha Eswaran If a SQL stored procedure returns no rows, you can detect the empty result set in Logic Apps by checking whether the output’s ResultSets object is {}. When empty, the workflow can be cleanly terminated or used to trigger alerts, ensuring predictable behavior and more resilient integrations. Azure Logic Apps MCP Server Post by Laveesh Bansal Our own Laveesh Bansal spent some time creating an Azure Logic Apps MCP Server that enables natural‑language debugging, workflow inspection, and updates without using the portal. It supports both Standard and Consumption apps, integrates with AI clients like Copilot and Claude, and offers tools for local or cloud‑hosted setups, testing, and workflow lifecycle operations. Azure Logic Apps: Change Detection in JSON Objects and Arrays Post by Suraj Somani Logic Apps offers native functions to detect changes in JSON objects and arrays without worrying about field or item order. Using equals() for objects and intersection() for arrays, you can determine when data has truly changed and trigger workflows only when updates occur, improving efficiency and reducing unnecessary processing. Logic Apps Standard: A clever hack to use JSON schemas in your Artifacts folder for JSON message validation (Part 1) Post by Şahin Özdemir Şahin outlines a workaround for using JSON schemas stored in the Artifacts folder to validate messages in Logic Apps Standard. It revisits integration needs from BizTalk migrations and shows how to bring structured validation into modern workflows without relying on Integration Accounts. This is a two part series and you can find part two here. Let's integrate SAP with Microsoft Video by Sebastian Meyer Sebastian has a new video out, and in this episode he and Martin Pankraz break down SAP GROW and RISE for Microsoft integration developers, covering key differences and integration options across IDoc, RFC, BAPI, SOAP, HTTPS, and OData, giving a concise overview of today’s SAP landscape and what it means for building integrations on Azure. Logic Apps Initialize variables action has a max limit of 20 variables Post by Sandro Pereira Logic Apps allows only 20 variables per Initialize variables action, and exceeding it triggers a validation error. This limit applies per action, not per workflow. Using objects, parameters, or Compose actions often reduces the need for many scalars and leads to cleaner, more maintainable workflows. Did you know that? It is a Friday Fact!Logic Apps Aviators Newsletter - December 2025
In this issue: Ace Aviator of the Month News from our product group Community Playbook News from our community Ace Aviator of the Month December’s Ace Aviator: Daniel Jonathan What's your role and title? What are your responsibilities? I’m an Azure Integration Architect at Cnext, helping organizations modernize and migrate their integrations to Azure Integration Services. I design and build solutions using Logic Apps, Azure Functions, Service Bus, and API Management. I also work on AI solutions using Semantic Kernel and LangChain to bring intelligence into business processes. Can you give us some insights into your day-to-day activities and what a typical day in your role looks like? My day usually begins by attending customer requests and handling recent deployments. Most of my time goes into designing integration patterns, building Logic Apps, mentoring the team, and helping customers with technical solutions. Lately, I’ve also been integrating AI capabilities into workflows. What motivates and inspires you to be an active member of the Aviators/Microsoft community? The community is open, friendly, and full of knowledge. I enjoy sharing ideas, writing posts, and helping others solve real-world challenges. It’s great to learn and grow together. 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? Start small and stay consistent. Learn the basics well—like messaging, retries, and error handling—before diving into complex tools. Keep learning and share what you know. What has helped you grow professionally? Hands-on experience, teamwork, and continuous learning. Working across different projects taught me how to design reliable and scalable systems. Exploring AI with Semantic Kernel and LangChain has also helped me think beyond traditional integrations. If you had a magic wand that could create a feature in Logic Apps, what would it be and why? I’d add an “Overview Page” in Logic Apps containing the HTTP URLs for each workflow, so developers can quickly access to test from one place. It would save time and make working with multiple workflows much easier. News from our product group Logic Apps Community Day 2025 Playlist Did you miss or want to catch up on individual sessions from Logic Apps Community Day 2025? Here is the full playlist – choose your favorite sessions and have fun! The future of integration is here and it's agentic Missed Kent Weare and Divya Swarnkar session at Ignite? It is here for you to watch on demand. Enterprise integration is being reimagined. It’s no longer just about connecting systems, but about enabling adaptive, agentic workflows that unify apps, data, and systems. In this session, discover how to modernize integration, migrate from BizTalk, and adopt AI-driven patterns that deliver agility and intelligence. Through customer stories and live demos, see how to bring these workflows to life with Agent Loop in Azure Logic Apps. Public Preview: Azure Logic Apps Connectors as MCP Tools in Microsoft Foundry Unlock secure enterprise connectivity with Azure Logic Apps connectors as MCP tools in Microsoft Foundry. Agents can now use hundreds of connectors natively—no custom code required. Learn how to configure and register MCP servers for seamless integration. Announcing AI Foundry Agent Service Connector v2 (Preview) AI Foundry Agent Service Connector v2 (Preview) is here! Azure Logic Apps can now securely invoke Foundry agents, enabling low-code AI integration, multi-agent workflows, and faster time-to-value. Explore new operations for orchestration and monitoring. Announcing the General Availability of the XML Parse and Compose Actions in Azure Logic Apps XML Parse and Compose Actions are now GA in Azure Logic Apps! Easily handle XML with XSD schemas, streamline workflows, and support internationalization. Learn best practices for arrays, encoding, and safe transport of content. Clone a Consumption Logic App to a Standard Workflow Clone your Consumption Logic Apps into Standard workflows with ease! This new feature accelerates migration, preserves design, and unlocks advanced capabilities for modern integration solutions. Announcing the HL7 connector for Azure Logic Apps Standard and Hybrid (Public Preview) Connect healthcare systems effortlessly! The new HL7 connector for Azure Logic Apps (Standard & Hybrid) enables secure, standardized data exchange and automation using HL7 protocols—now in Public Preview. Announcing Foundry Control Plane support for Logic Apps Agent Loop (Preview) Foundry Control Plane now supports Logic Apps Agent Loop (Preview)! Manage, govern, and observe agents at scale with built-in integration—no extra steps required. Ensure trust, compliance, and scalability in the agentic era. Announcing General Availability of Agent Loop in Azure Logic Apps Agent Loop transforms Logic Apps into a multi-agent automation platform, enabling AI agents to collaborate with workflows and humans. Build secure, enterprise-ready agentic solutions for business automation at scale. Agent Loop Ignite Update - New Set of AI Features Arrive in Public Preview We are releasing a broad set of Agent Loop new and powerful AI-first capabilities in Public Preview that dramatically expand what developers can build: run agents in the Consumption SKU ,bring your own models through APIM AI Gateway, call any tool through MCP, deploy agents directly into Teams, secure RAG with document-level permissions, onboard with Okta, and build in a completely redesigned workflow designer. Announcing MCP Server Support for Logic Apps Agent Loop Agent Loop in Azure Logic Apps now supports Model Context Protocol (MCP), enabling secure, standardized tool integration. Bring your own MCP connector, use Azure-managed servers, or build custom connectors for enterprise workflows. Enabling API Key Authentication for Logic Apps MCP Servers Logic Apps MCP Servers now support API Key authentication alongside OAuth2 and Anonymous options. Configure keys via host.json or Azure APIs, retrieve and regenerate keys easily, and connect MCP clients securely for agentic workflows. Announcing Public Preview of Agent Loop in Azure Logic Apps Consumption Agent Loop now brings AI-powered automation to Logic Apps Consumption with a frictionless, pay-as-you-go model. Build autonomous and conversational agents using 1,400+ connectors—no dedicated infrastructure required. Ideal for rapid prototyping and enterprise workflows. Moving the Logic Apps Designer Forward Major redesign of Azure Logic Apps designer enters Public Preview for Standard workflows. Phase I focuses on faster onboarding, unified views, draft mode with auto-save, improved search, and enhanced debugging. Feedback will shape future phases for a seamless development experience. Announcing the General Availability of the RabbitMQ Connector RabbitMQ Connector for Azure Logic Apps is now generally available, enabling reliable message exchange for Standard and Hybrid workflows. It supports triggers, publishing, and advanced routing, with global rollout underway for robust, scalable integration scenarios. Duplicate Detection in Logic App Trigger Prevent duplicate processing in Logic Apps triggers with a REST API-based solution. It checks recent runs using clientTrackingId to avoid reprocessing items caused by edits or webhook updates. Works with Logic App Standard and adaptable for Consumption or Power Automate. Announcing the BizTalk Server 2020 Cumulative Update 7 BizTalk Server 2020 Cumulative Update 7 is out, adding support for Visual Studio 2022, Windows Server 2022, SQL Server 2022, and Windows 11. Includes all prior fixes. Upgrade from older versions or consider migrating to Azure Logic Apps for modernization. News from our community Logic Apps Local Development Series Post by Daniel Jonathan Last month I shared an article from Daniel about debugging XSLT in VS Code. This month, I bumped into not one, but five articles in a series about Build, Test and Run Logic Apps Standard locally – definitely worth the read! Working with sessions in Agentic Workflows Post by Simon Stender Build AI-powered chat experiences with session-based agentic workflows in Azure Logic Apps. Learn how they enable dynamic, stateful interactions, integrate with APIs and apps, and avoid common pitfalls like workflows stuck in “running” forever. Integration Love Story with Mimmi Gullberg Video by Ahmed Bayoumy and Robin Wilde Meet Mimmi Gullberg, Green Cargo’s new integration architect driving smarter, sustainable rail logistics. With experience from BizTalk to Azure, she blends tech and business insight to create real value. Her mantra: understand the problem first, then choose the right tools—Logic Apps, Functions, or AI. Integration Love Story with Jenny Andersson Video by Ahmed Bayoumy and Robin Wilde Discover Jenny Andesson’s inspiring journey from skepticism to creativity in tech. In this episode, she shares insights on life as an integration architect, tackling system challenges, listening to customers, and how AI is shaping the future of integration. You Can Get an XPath value in Logic Apps without returning an array Post by Luis Rigueira Working with XML in Azure Logic Apps? The xpath() function always returns an array—even for a single node. Or does it? Found how to return just the values you want on this Friday Fact from Luis Rigueira. Set up Azure Standard Logic App Connectors as MCP Server Video by Srikanth Gunnala Expose your Azure Logic Apps integrations as secure tools for AI assistants. Learn how to turn connectors like SAP, SQL, and Jira into MCP tools, protect them with Entra ID/OAuth, and test in GitHub Copilot Chat for safe, action-ready AI workflows. Making Logic Apps Speak Business Post by Al Ghoniem Stop forcing Logic Apps to look like business diagrams. With Business Process Tracking, you can keep workflows technically sound while giving business users clear, stage-based visibility into processes—decoupled, visual, and KPI-driven.🤖 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. Here are some resources to learn more about them Logic Apps Labs - https://aka.ms/lalabs Agent in a day workshop - https://aka.ms/la-agent-in-a-day In this article, share with you use cases implemented in Logic Apps using agent loop and other features. This video shows a conversational agent that answers questions about Health Plans and their coverage. The demo features document ingestion of policy documents in AI Search and then retrieving them in Agent loop using natural language This video shows an autonomous agent that generates sales report. The demo features Python Code Interpreter which analyzed excel data and aggregates it for the LLM to reason on it This video shows a conversational agent that helps recruiters with candidate screening and interview scheduling. The demo features OBO (On-Behalf-Of) where agent uses tools in the security context of user. This video shows a conversational agent for a Utility company. The demo features multi agent orchestration using handoff, and a native chat client that supports multi turn conversations and streaming, and is secured via Entra for user authentication This video shows an autonomous Loan Approval Agent specifically that handles auto loans for a bank. The demo features an AI Agent that uses an Azure Open AI model, company's policies, and several tools to process loan application. For edge cases, huma in involved via Teams connector. This video shows an autonomous Product Return Agent for Fourth Coffee company. The returns are processed by agent based on company policy, and other criterions. In this case also, a human is involved when decisions are outside the agent's boundaries This video shows a commercial agent that grants credits for purchases of groceries and other products, for Northwind Stores. The Agent extracts financial information from an IBM Mainframe and an IBM i system to assess each requestor and updates the internal Northwind systems with the approved customers information. Multi-Agent scenario including both a codeful and declarative method of implementation. Note: This is pre-release functionality and is subject to change. If you are interested in further discussing Logic Apps codeful Agents, please fill out the following feedback form. Operations Agent (part 1): In this conversational agent, we will perform Logic Apps operations such as repair and resubmit to ensure our integration platform is healthy and processing transactions. To ensure of compliance we will ensure all operational activities are logged in ServiceNow. Operations Agent (part 2): In this autonomous agent, we will perform Logic Apps operations such as repair and resubmit to ensure our integration platform is healthy and processing transactions. To ensure of compliance we will ensure all operational activities are logged in ServiceNow.Logic Apps Aviators Newsletter - November 2025
In this issue: Ace Aviator of the Month News from our product group News from our community Ace Aviator of the Month Novembers’s Ace Aviator: Al Ghoniem What's your role and title? What are your responsibilities? As a Senior Integration Consultant, I design and deliver enterprise-grade integration on Microsoft Azure, primarily using Logic Apps Standard, API Management, Service Bus, Event Grid and Azure Functions. My remit covers reference architectures, “golden” templates, governance and FinOps guardrails, CI/CD automation (Bicep and YAML), and production-ready patterns for reliability, observability and cost efficiency. Alongside my technical work, I lead teams of consultants and engineers, helping them adopt standardised delivery models, mentor through code reviews and architectural walkthroughs, and ensure we deliver consistent, high-quality outcomes across projects. I also help teams apply decisioning patterns (embedded versus external rules) and integrate AI responsibly within enterprise workflows. Can you give us some insights into your day-to-day activities and what a typical day in your role looks like? Architecture and patterns: refining solution designs, sequence diagrams and rules models for new and existing integrations. Build and automation: evolving reusable Logic App Standard templates, Bicep modules and pipelines, embedding monitoring, alerts and identity-first security. Problem-solving: addressing performance tuning, transient fault handling, poison/DLQ flows and “design for reprocessing.” Leadership and enablement: mentoring consultants, facilitating technical discussions, and ensuring knowledge is shared across teams. Community and writing: publishing articles and examples to demystify real-world integration trade-offs. What motivates and inspires you to be an active member of the Aviators/Microsoft community? The community continuously turns hard-won lessons into reusable practices. Sharing patterns (and anti-patterns) saves others time and incidents, while learning from peers strengthens my own work. Microsoft’s product teams also listen closely, and seeing customer feedback directly shape the platform is genuinely rewarding. 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? Optimise for learning speed, not titles. Choose problems that stretch you and deliver in small, measurable increments. Master the fundamentals. Naming, idempotency, retries and observability are not glamorous but make systems dependable. Document everything. Diagrams, runbooks and ADRs multiply your impact. Understand trade-offs. Every decision buys something and costs something; acknowledge both sides clearly. Value collaboration over heroics. Ask questions, share knowledge and give credit freely. What has helped you grow professionally? Reusable scaffolding: creating golden templates and reference repositories that capture best practice once and reuse it everywhere. Feedback loops: leveraging telemetry, post-incident reviews and peer critique to improve. Teaching and mentoring: explaining concepts to others brings clarity and strengthens leadership. Cross-disciplinary curiosity: combining architecture, DevOps, FinOps and AI to address problems holistically. If you had a magic wand that could create a feature in Logic Apps, what would it be and why? "Stateful Sessions and Decisions” as a first-class capability: Built-in session state across multiple workflows, durable correlation and resumable orchestrations without external storage. A native decisioning activity with versioned decision tables and rule auditing (“why this rule fired”). A local-first developer experience with fast testing and contract validation for confident iteration. This would simplify complex, human-in-the-loop and event-driven scenarios, reduce custom plumbing, and make advanced orchestration patterns accessible to a wider audience. News from our product group Logic Apps Community Day 2025 Did you miss or want to catch up again on your favorite Logic Apps Community Day videos – jump back into action on this four hours long learning session, with 10 sessions from our Community Experts. And stay tuned for individual sessions being shared throughout the week. Announcing Parse & Chunk with Metadata in Logic Apps: Build Context-Aware RAG Agents New Parse & Chunk actions add metadata like page numbers and sentence completeness—perfect for context-aware document Q&A using Azure AI Search and Agent Loop. Introducing the RabbitMQ Connector (Public Preview) The new connector (Public Preview) lets you send and receive messages with RabbitMQ in Logic Apps Standard and Hybrid—ideal for scalable, reliable messaging across industries. News from our community EventGrid And Entra Auth In Logic Apps Standard Post by Riccardo Viglianisi Learn how to use Entra Auth for webhook authentication, ditch SAS tokens, and configure private endpoints with public access rules—perfect for secure, scalable integrations. Debugging XSLT Made Easy in VS Code: .NET-Based Debugging for Logic Apps Post by Daniel Jonathan A new .NET-based extension brings real debugging to XSLT for Logic Apps. Set breakpoints, step through transformations, and inspect variables—making XSLT development clear and productive. This is the 3 rd post in a 5 part series, so worth checking out the other posts too. Modifying the Logic App Azure Workbook: Custom Views for Multi Workflow Monitoring Post by Jeff Wessling Learn how to tailor dashboards with KQL, multi-workflow views, and context panes—boosting visibility, troubleshooting speed, and operational efficiency across your integrations. Azure AI Agents in Logic Apps: A Guide to Automate Decisions Post by Imashi Kinigama Discover how GPT-powered agents, created using Logic Apps Agent Loop, automate decisions, extract data, and adapt in real time. Build intelligent workflows with minimal effort—no hardcoding, just instructions and tools. How to Turn Logic App Connectors into MCP Servers (Step-by-Step Guide) Post by Stephen W. Thomas Learn how to expose connectors like Google Drive or Salesforce as MCP endpoints using Azure API Center—giving AI agents secure, real-time access to 1,400+ services directly from VS Code. Custom SAP MCP Server with Logic Apps Post by Sebastian Meyer Learn how to turn Logic Apps into AI-accessible tools using MCP. From workflow descriptions to Easy Auth setup and VS Code integration—this guide unlocks SAP automation with Copilot. How Azure Logic Apps as MCP Servers Accelerate AI Agent Development Post by Monisha S Turn 1,400+ connectors into AI tools with Logic Apps Standard. Build agents fast, integrate with legacy systems, and scale intelligent workflows across your organization. Designing Business Rules in Azure Logic Apps: When to Go Embedded vs External Post by Al Ghoniem Learn when to use Logic Apps' native Rules Engine or offload to Azure Functions with NRules or JSON RulesEngine. Discover hybrid patterns for scalable, testable decision automation. Syncing SharePoint with Azure Blob Storage using Logic Apps & Azure Functions for Azure AI Search Post by Daniel Jonathan Solve folder delete issues by tagging blobs with SharePoint metadata. Use Logic Apps and a custom Azure Function to clean up orphaned files and keep Azure AI Search in sync. Step-by-Step Guide: Building a Conversational Agent in Azure Logic Apps Post by Stephen W. Thomas Use Azure AI Foundry and Logic Apps Standard to create chatbots that shuffle cards, answer questions, and embed into websites—no code required, just smart workflows and EasyAuth. You can hide sensitive data from the Logic App run history Post by Francisco Leal Learn how to protect sensitive data like authentication tokens, credentials, and personal information in Logic App, so this data don’t appear in the run history, which could pose security and privacy risks.📢Announcement! Python Code Interpreter in Logic Apps is now in Public Preview
As AI agents evolve, they increasingly need to do more than just respond to text—they must analyze structured data, reason over complex patterns, and perform custom computations on demand. This is especially true in real-world scenarios where users upload large CSV files and expect agents to perform tasks like exploratory data analysis or generating insights—all from natural language prompts. Why This Matters The above image captures why this matters - behind this need lies a real challenge that many businesses face today. Data is diverse, fragmented, and large. It often comes in the form of CSV files, Excel spreadsheets, or JSON—containing thousands or even millions of rows. But this raw data is rarely useful on its own. It typically requires: Cleaning and transformation Custom logic to extract insights Visualizations or summaries that make the data actionable These steps are often manual, error-prone, and time-consuming—especially for users without data science or engineering expertise. Introducing Python Code Interpreter in Logic Apps Agent Loop We’re excited to announce support for Python code execution, powered by Azure Container Apps (ACA) session pool. This capability enables Logic Apps developers to use Python Code Interpreter in their workflows and also as a tool in Agent loop. You can author the code or use LLM to write code for you. As a code interpreter tool, it Accept natural language instructions Automatically generate Python code Execute that code securely on uploaded datasets (like CSV or JSON) Return insights, visualizations, or next-step data back to the user This brings the power of a code interpreter—similar to ChatGPT’s advanced data analysis tool—right into the Logic Apps runtime. Instead of writing code or manually manipulating spreadsheets, users can now describe their intent in natural language—for example: “Find the top 5 products by revenue” “Forecast demand by region for the next quarter” “Highlight customer segments based on purchase patterns” Under the hood, Logic Apps now enables this flow by interpreting the instruction, generating Python code, executing it securely in an isolated environment, and returning usable results— summaries, forecasts, or data transformations—within the same workflow. Real-World Use Cases This opens up a wide range of possibilities for businesses looking to embed intelligence into their automation: Sales & Marketing: Upload raw sales data and get on-the-fly summaries, forecasts, or regional comparisons. Finance: Analyze expense reports, detect anomalies, or generate quarterly breakdowns from Excel exports. Operations: Clean large log files, surface exceptions, and generate insights to improve reliability. Data Exploration: Let business users ask questions like “Which region had the highest YoY growth?” without writing a single line of code. How It Works The action to execute Python code is powered by Azure Container Apps (ACA)session pool. Azure Container Apps dynamic sessions provides fast and scalable access to a code interpreter. Each code interpreter session is fully isolated by a Hyper-V boundary and is designed to run untrusted code. By enabling network isolation on ACA, your data never leaves the defined network boundaries In Logic Apps, choose the action to execute Python code. You need to create a connection to the ACA session before you use the action. The code to execute can be authored by the developer or generated by the agent Optionally, upload file to the ACA session which can then be referenced as a data source in the Python code Run the workflow to get insights/results from the action execution Getting Started We can’t wait to see developers use this feature to build powerful agents! You can find all the details about the feature and step by step guidance to use this capability in our MS Learn document. If you have any questions, comments or feedback, please reach out to us via this form: http://aka.ms/la/feedbackIntroducing Logic Apps MCP servers (Public Preview)
Using Logic Apps (Standard) as MCP servers transforms the way organizations build and manage agents by turning connectors into modular, reusable MCP tools. This approach allows each connector—whether it's for data access, messaging, or workflow orchestration—to act as a specialized capability within the MCP framework. By dynamically composing these tools into Logic Apps, developers can rapidly construct agents that are both scalable and adaptable to complex enterprise scenarios. The benefits include reduced development overhead, enhanced reusability, and a streamlined path to integrating diverse systems—all while maintaining the flexibility and power of the Logic Apps platform. Starting today, we now support creating Logic Apps MCP Servers in the following ways: Registering Logic Apps connectors as MCP servers using Azure API Center Using this approach provides a streamlined experience when building MCP servers based upon Azure Logic Apps connectors. This new experience includes selecting a managed connector and one or more of its actions to create an MCP server and its related tools. This experience also automates the creation of Logic Apps workflows and wires up Easy Auth authentication for you in a matter of minutes. Beyond the streamlined experience that we provide, customers also benefit from any MCP server created using this experience to be registered within their API Center enterprise catalogue. For admins this means they can manage their MCP servers across the enterprise. For developers, it offers a centralized catalog where MCP servers can be discovered and quickly onboarded in Agent solutions. To get started, please refer to our product documentation or our demo videos. Enabling Logic Apps as remote MCP server For customers who have existing Logic Apps (Standard) investments or who want additional control over how their MCP tools are created we are also offering the ability to enable a Logic App as an MCP server. For a Logic App to be eligible to become an MCP server, it must have the following characteristics: One or more workflows that have an HTTP Request trigger and a corresponding HTTP Response action It is recommended that your trigger has a description and your request payload has schema that includes meaningful descriptions Your host.json file has been configured to enable MCP capabilities You have created an App registration in Microsoft Entra and have configured Easy Auth in your Logic App To get started, please refer to our product documentation or our demo videos. Feedback Both of these capabilities are now available, in public preview, worldwide. If you have any questions or feedback on these MCP capabilities, we would love to hear from you. Please fill out the following form and I will follow-up with you.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
