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Building and Governing AI Agents with MCP and Azure Integration Services

azure integration services

ai agents

mcp

azure

Автор: Microsoft Reactor

Загружено: 2025-11-04

Просмотров: 752

Описание: As organizations increasingly build and consume MCP servers, there’s a growing need for a secure, discoverable, and governed catalog of tools. In this session, we’ll show how Azure API Center can serve as a private MCP registry, making your Logic Apps connectors, Azure Functions, LangChain agents, and other MCP-compliant servers easily discoverable and reusable across your organization.

You’ll also see how MCP support in Azure API Management enables you to expose REST APIs or Logic Apps connectors as MCP servers, secure them with Microsoft Entra ID, API keys, or tokens, and apply monitoring, policies, and governance without rewriting backends. We’ll demo registering tools in API Center and bring external MCP-compliant servers under enterprise-grade control, showing how to maintain security, observability, and discoverability across both internal and external services.

By the end, you’ll know how to create, expose, and govern MCP servers in a way that empowers developers while keeping enterprise-grade control unlocking safer, reusable, and scalable AI-driven integration.

📌 This session is a part of a series! Learn more here - https://aka.ms/AIS/series

Chapters:
0:00 Introduction and Housekeeping
1:42 Understanding Azure API Management and AI
3:30 Components of API Management (Gateway & Center)
4:44 What is AI Gateway?
7:00 AI Gateway Capabilities
8:47 Tools: MCP Protocol and API Management
12:25 High-Level Architecture for MCP Servers
13:54 Developer Scenarios
15:04 Demo: Creating an MCP Server from an API
19:13 Demo: Proxying an Existing MCP Server
20:51 Credential Manager for Backend Access
23:42 Q&A on API Conversion
25:55 Q&A on Source and Functions
27:54 Discovery and Governance with Azure API Center
30:48 Demo: MCP Registry in Azure API Center
37:59 AI Gateway Future Roadmap (Preview Features)
42:04 Q&A on Developer Portal and AI Foundry
47:02 Resources: Azure AI Foundry and AI Gateway Labs
50:06 Conclusion

#MicrosoftReactor #learnconnectbuild

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Building and Governing AI Agents with MCP and Azure Integration Services

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