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MCP ConfigsMar 30, 2026·2 min de lectura

FastMCP — Build MCP Servers in Python, Fast

The fast, Pythonic way to build MCP servers and clients. Clean decorator API, automatic type validation, built-in testing, and OpenAPI integration. 24K+ GitHub stars.

Introducción

FastMCP is the fastest way to build MCP (Model Context Protocol) servers and clients in Python. It provides a clean, decorator-based API that handles all the protocol complexity — type validation, error handling, serialization — so you can focus on building tools. 24,000+ GitHub stars, actively maintained.

Best for: Python developers building MCP servers for AI coding tools Works with: Claude Code, Cursor, Gemini CLI, VS Code, any MCP client


Key Features

Simple Decorator API

Define tools, resources, and prompts with Python decorators — no boilerplate:

@mcp.tool()
def search_files(query: str, max_results: int = 10) -> list[str]:
    """Search files matching query."""
    ...

Automatic Type Validation

Uses Pydantic for automatic request/response validation from type hints.

Built-in Testing

from fastmcp.testing import MCPTestClient
async with MCPTestClient(mcp) as client:
    result = await client.call_tool("add", {"a": 1, "b": 2})
    assert result == 3

MCP Client

Also includes a Python MCP client for connecting to any MCP server.

OpenAPI Integration

Import existing OpenAPI/Swagger specs to auto-generate MCP tools from REST APIs.


FAQ

Q: What is FastMCP? A: FastMCP is a Python framework for building MCP servers and clients with a clean decorator API. It handles protocol complexity, type validation, and serialization automatically. 24K+ stars on GitHub.

Q: How is FastMCP different from the official MCP SDK? A: FastMCP provides a higher-level, more Pythonic API with decorators, automatic type validation, built-in testing, and OpenAPI integration — reducing boilerplate significantly.


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Fuente y agradecimientos

Created by PrefectHQ. Licensed under Apache 2.0. PrefectHQ/fastmcp — 24,000+ GitHub stars

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