Tutorials

Create MCP Servers from Python Code in ~10 Minutes


3 Things This Tutorial Covers

Get up and running in minutes by transforming your existing Python REST API into a powerful Model Context Protocol (MCP) server that AI Agents can call—then watch as AI creates and manages your data in real time!

  • 🛠️ Convert FastAPI REST to MCP: Learn to install and configure fastapi-mcp, wrap your FastAPI app, and expose your endpoints under the /mcp namespace with just a few lines of code.
  • 🤖 Integrate with AI Code Editors: See how to register your new MCP server in VS Code (or any AI-powered IDE), enable tool discovery, and effortlessly invoke your API operations from GitHub Copilot (or similar).
  • 📚 Hands-On AI-Driven Data Creation: Walk through a live demo where AI retrieves your book list and even adds a new book—The Hitchhiker’s Guide to the Galaxy—directly into your database, proving the end-to-end power of MCP.
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