Expose a REST API as an MCP Server via Azure API Management

As AI agents become integral to enterprise workflows, they need standardized ways to discover and invoke backend APIs. The Model Context Protocol (MCP) provides this standard interface, and Azure API Management can act as a centralized MCP gateway, exposing your existing REST APIs as MCP server tools without any backend code changes.

In this lab, you will work with a pre-provisioned Azure API Management Basic v2 instance to import a REST API using an OpenAPI specification, export it as an MCP server, configure subscription key validation and rate limiting policies for the MCP endpoint, and connect an MCP client to invoke API operations as tools. You will see how APIM bridges the gap between traditional REST APIs and the MCP ecosystem using Streamable HTTP transport.

Objectives

Upon completing this Intermediate level lab, you will be able to:

• Import a REST API into Azure API Management using an OpenAPI specification
• Expose API operations as MCP server tools for AI agent consumption
• Secure the MCP endpoint with subscription key authentication and rate limiting policies
• Connect an MCP client to invoke API tools and validate end-to-end connectivity

Who is this lab for?

This lab is designed for:

• Cloud engineers and API developers who manage existing REST APIs and want to make them accessible to AI agents without code changes
• Platform engineers evaluating Azure API Management as a centralized MCP gateway for enterprise APIs