MCP Python SDK Documentation

What is MCP Python SDK Documentation?

This repository contains the documentation for the Model Context Protocol (MCP) Python SDK, built with Sphinx and the Read the Docs theme. It helps developers understand core MCP concepts, build servers (including with FastMCP), create clients, and explore advanced topics.

How to use MCP Python SDK Documentation?

To build locally, install dependencies (e.g., pip install -r requirements.txt) then run make html; the output is placed in _build/html/. For a live preview with auto‑reload, run sphinx-autobuild . _build/html. To host on GitHub Pages, use the provided GitHub Actions workflow (recommended) or manually deploy to a gh-pages branch.

Key features of MCP Python SDK Documentation

• Comprehensive coverage of FastMCP, a high‑level Pythonic MCP server interface
• Guides for building MCP servers and clients
• Advanced topics and best practices
• Full API reference
• Multiple deployment options: local build, live preview, GitHub Pages

Use cases of MCP Python SDK Documentation

• Learning the Model Context Protocol and its core concepts
• Building MCP servers with minimal boilerplate using FastMCP
• Creating MCP clients to connect to MCP servers
• Contributing improvements to the official SDK documentation

FAQ from MCP Python SDK Documentation

What is FastMCP and how is it related to the SDK?

FastMCP is a high‑level, Pythonic interface for building MCP servers. Originally a standalone project, it has been integrated into the official MCP Python SDK.

How do I build the documentation locally?

First install dependencies (pip install -r requirements.txt) then run make html from the repository root. The built HTML will appear in _build/html/.

How can I host the documentation on GitHub Pages?

You can either use the included GitHub Actions workflow (recommended) or manually deploy to a gh-pages branch. Both processes are described in the README.

What dependencies are required to build the documentation?

Python, Sphinx, and the packages listed in requirements.txt. Using a virtual environment or conda is recommended.

What resources are linked from the documentation?

The README lists the official MCP website, the Python SDK GitHub repository, the MCP specification, a list of officially supported servers, and the legacy FastMCP GitHub repository.