modelcontextprotocol/python-sdk

The official Python SDK for Model Context Protocol servers and clients

What it solves

It provides a standardized way for developers to expose data and functionality to Large Language Models (LLMs) without having to manually write complex request parsing, validation code, or custom JSON schemas for every integration.

How it works

The SDK implements the Model Context Protocol (MCP), acting as a bridge between LLM applications (hosts) and data sources (servers). It allows developers to create servers that expose tools, resources, and prompts using simple Python type hints and docstrings. It supports multiple communication methods (transports), including stdio, Streamable HTTP, and SSE.

Who it’s for

Developers building LLM-powered applications who need to connect their models to external data and tools in a secure, consistent manner.

Highlights

  • Rapid Server Development: Create functional MCP servers with minimal code by leveraging Python type hints for automatic schema generation.
  • Flexible Transport Support: Compatible with stdio, Streamable HTTP, and SSE.
  • Dual Capability: Functions as both a server to expose tools and a client to connect to existing MCP servers.
  • CLI Tooling: Includes a command-line interface for developing, running, and installing MCP servers.

Related

  • Project
    PrefectHQ/fastmcp

    A full application framework for the Model Context Protocol (MCP) that simplifies building servers, clients, and interactive apps to connect LLMs to tools and data.

  • Project
    mark3labs/mcp-go

    A Go implementation of the Model Context Protocol (MCP) that enables LLM applications to integrate with external data sources and tools using a standardized interface.

  • Project
    modelcontextprotocol/servers

    A collection of reference implementations for the Model Context Protocol (MCP), providing examples of how to give LLMs secure access to tools and data sources.

  • Dispatch
    Production Use Cases of Model Context Protocol (MCP): Real‑World Benefits and Patterns

    MCP is being used in production across a wide range of domains—from voice agents and enterprise SaaS to personal data archives—because it standardizes tool access, handles authentication, and lets non‑technical users interact with AI without writing code.

  • Project
    daobataotie/CAD-MCP

    CAD‑MCP is a Windows‑only Python server that exposes AutoCAD/GstarCAD/ZWCAD functionality through the Model‑Context‑Protocol. It lets LLM‑powered clients control drawing, querying, editing, layer, block, and file operations via 35 structured JSON tools, enabling natural‑language‑driven CAD automation.