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App Service as Model Context Protocol (MCP) servers

Integrate your web app as a Model Context Protocol (MCP) server to extend the capabilities of leading personal AI agents such as GitHub Copilot Chat, Cursor, and Winsurf. By exposing your app's APIs through MCP, you can supercharge these agents with the unique features and business logic your web app already provides, without major development effort or rearchitecture.

Overview

MCP is an open standard that enables AI coding assistants and agents to interact with external tools and data sources. By hosting your App Service application as an MCP server, you make your web app's functionality available to AI agents as callable tools with structured inputs and outputs.

This integration allows developers to:

  • Extend AI assistants: Add custom capabilities to GitHub Copilot Chat, Cursor, Winsurf, and other MCP-compatible agents
  • Expose existing APIs: Turn your current REST APIs into AI-accessible tools without rewriting code
  • Provide context: Give AI agents access to your application's business logic and data
  • Enable automation: Allow agents to perform complex workflows by chaining your app's operations
  • Maintain control: Keep full control over authentication, authorization, and data access

When to use App Service as an MCP server

Consider implementing your App Service app as an MCP server when you want to:

  • Empower developer tools: Let developers use AI agents that can directly interact with your APIs during coding
  • Create custom copilot experiences: Build specialized AI assistants with deep knowledge of your application domain
  • Automate workflows: Enable AI agents to perform multi-step operations in your application
  • Improve developer productivity: Reduce context switching by bringing your app's functionality into the IDE
  • Leverage existing infrastructure: Use your deployed App Service apps as agent tools without separate deployments

MCP is particularly valuable for line-of-business applications, internal tools, and developer-focused services where making functionality easily accessible to AI agents can dramatically improve productivity.

How MCP works with App Service

Your App Service application implements the MCP protocol by exposing a set of tools (functions) that agents can discover and invoke. When an AI agent needs to perform an action:

  1. The agent queries your MCP server to discover available tools
  2. The agent selects the appropriate tool based on user intent
  3. Your App Service app processes the request and returns structured results
  4. The agent interprets the results and presents them to the user

App Service provides built-in support for the authentication and security features required for production MCP servers, including Microsoft Entra ID integration and managed identities.

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