🚀 FastMCP Server & Client in Python – A Tiny MCP Tutorial (Model Context Protocol)

Published: 03 March 2026
on channel: sitowebveloce

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🎯 What you’ll learn
What FastMCP is and why the Model Context Protocol (MCP) is a game‑changer for AI‑driven tools.
How to build a minimal server in a single file using @mcp.tool to expose a Python function.
How to run the server with mcp.run() and let it accept async connections.
How to connect a client locally with Client("./server.py") and call the exposed tool.
How to call a remote MCP service (e.g., https://gofastmcp.com/mcp) from a Python script.
Key concepts – async/await, tool calling, and keeping your code clean and maintainable.

🔑 Why FastMCP?
Zero‑boilerplate – expose any Python function as an MCP tool with a single decorator.
Async‑first – built on asyncio, so you get high concurrency out‑of‑the‑box.
Remote‑friendly – connect to a server over HTTP/WS or a local file path.
Perfect for AI agents – feed the MCP tools directly into language‑model pipelines (e.g., ChatGPT, Claude, etc.).

📌 Quick steps to try it yourself
Install FastMCP: pip install fastmcp
Save the server.py snippet above.
Run the server: python server.py (it will listen on a default port).
Run the client.py (local) to see the greeting printed.
Swap in client_remote.py to query a public MCP endpoint.

📚 Resources
FastMCP Docs: https://gofastmcp.com/getting-started...

💡 Got ideas?
Drop a comment with the MCP tool you’d love to see next – maybe a file‑fetcher, DB query, or image‑processing wrapper!

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