Unlock AI Agent Workflows with Azure API Management and MCP

Model Context Protocol (MCP) is redefining how AI agents interact with APIs, resources, and prompts. In this session, learn how Azure API Management enables you to securely expose REST APIs as agent-ready tools—complete with authentication, policy enforcement, and observability. We’ll cover how to onboard existing APIs, manage AI-specific traffic, and register tools with Azure API Center for seamless agent discovery. Whether you’re building copilots or automating internal workflows, this is your blueprint for modern, governed API integration in the age of AI.

You will learn: How to expose APIs as AI tools using the Model Context Protocol (MCP) within Azure API Management—no backend changes required. Understand how to secure and govern AI agent access with OAuth 2.1, Credential Manager, and centralized policy enforcement. Discover how Azure API Center enhances MCP workflows by enabling centralized discovery, governance, and lifecycle management of AI-exposed APIs, resources, and prompts.