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modelcontextprotocol

modelcontextprotocol/python sdk

Built by modelcontextprotocol 22,367 stars

What is modelcontextprotocol/python sdk?

The official Python SDK for Model Context Protocol servers and clients

How to use modelcontextprotocol/python sdk?

1. Install a compatible MCP client (like Claude Desktop). 2. Open your configuration settings. 3. Add modelcontextprotocol/python sdk using the following command: npx @modelcontextprotocol/modelcontextprotocol-python-sdk 4. Restart the client and verify the new tools are active.
🛡️ Scoped (Restricted)
npx @modelcontextprotocol/modelcontextprotocol-python-sdk --scope restricted
🔓 Unrestricted Access
npx @modelcontextprotocol/modelcontextprotocol-python-sdk

Key Features

Native MCP Protocol Support
Real-time Tool Activation & Execution
Verified High-performance Implementation
Secure Resource & Context Handling

Optimized Use Cases

Extending AI models with custom local capabilities
Automating system workflows via natural language
Connecting external data sources to LLM context windows

modelcontextprotocol/python sdk FAQ

Q

Is modelcontextprotocol/python sdk safe?

Yes, modelcontextprotocol/python sdk follows the standardized Model Context Protocol security patterns and only executes tools with explicit user-granted permissions.

Q

Is modelcontextprotocol/python sdk up to date?

modelcontextprotocol/python sdk is currently active in the registry with 22,367 stars on GitHub, indicating its reliability and community support.

Q

Are there any limits for modelcontextprotocol/python sdk?

Usage limits depend on the specific implementation of the MCP server and your system resources. Refer to the official documentation below for technical details.

Official Documentation

View on GitHub

MCP Python SDK

<div align="center">

<strong>Python implementation of the Model Context Protocol (MCP)</strong>

PyPI MIT licensed Python Version Documentation Protocol Specification

</div>

[!CAUTION] This README documents v2 of the MCP Python SDK — a pre-release (alpha/beta) line under active development. Do not use v2 in production. Pre-releases are published to PyPI as 2.0.0aN / 2.0.0bN, and each pre-release may contain breaking changes from the previous one. Pin an exact version and expect to update your code when you bump the pin.

v1.x is the only stable release line and remains recommended for production. It lives on the v1.x branch and continues to receive critical bug fixes and security patches; see the v1.x README for its documentation. pip and uv don't select a pre-release unless you explicitly request one, so existing installs are unaffected. If your package depends on mcp, add a <2 upper bound to your version constraint (for example mcp>=1.27,<2) before the stable release lands.

v2 is a major rework of the SDK, both to support the 2026-07-28 MCP specification release and to fix long-standing architectural issues. See What's new in v2 for the tour of what changed, and the migration guide for every breaking change. Stable v2 is targeted for 2026-07-27, alongside the spec release. Try the pre-releases and tell us what breaks, or discuss in #python-sdk-dev on the MCP Contributors Discord.

Documentation

The documentation lives at https://py.sdk.modelcontextprotocol.io/v2/.

It has a Get started guide, What's new in v2, the API reference, and the migration guide.

What is MCP?

The Model Context Protocol lets you build servers that expose data and functionality to LLM applications in a secure, standardized way. Think of it like a web API, but designed for LLM interactions. With this SDK you can:

  • Build MCP servers that expose tools, resources, and prompts to any MCP host
  • Build MCP clients that connect to any MCP server
  • Speak every standard transport: stdio, Streamable HTTP, and SSE

Requirements

Python 3.10+.

Installation

uv add "mcp[cli]==2.0.0b1"          # or: pip install "mcp[cli]==2.0.0b1"

The pin matters while v2 is in pre-release: an unpinned install resolves to the latest stable v1.x, which this README does not describe. Check PyPI for the newest pre-release, and use uv run --with "mcp==2.0.0b1" for one-off commands.

A server in 15 lines

Create a server.py:

<!-- snippet-source docs_src/index/tutorial001.py -->
from mcp.server import MCPServer

mcp = MCPServer("Demo")


@mcp.tool()
def add(a: int, b: int) -> int:
    """Add two numbers."""
    return a + b


@mcp.resource("greeting://{name}")
def greeting(name: str) -> str:
    """Greet someone by name."""
    return f"Hello, {name}!"

Full example: docs_src/index/tutorial001.py

<!-- /snippet-source -->

That's a complete MCP server: one tool, one templated resource. Open it in the MCP Inspector:

uv run mcp dev server.py

Call add with a=1, b=2 and you get 3 back.

Notice what you did not write: no JSON Schema (a: int, b: int is the schema), no request parsing, no validation code, no protocol handling. Two type-hinted Python functions and a docstring.

Get started takes it from here.

A client in 10 lines

The same package is a full MCP client. Client connects to a URL, a stdio subprocess, a custom transport, or (for tests) straight to a server object in memory with no transport at all:

import asyncio

from mcp import Client

from server import mcp


async def main() -> None:
    async with Client(mcp) as client:
        result = await client.call_tool("add", {"a": 1, "b": 2})
        print(result.structured_content)  # {'result': 3}


asyncio.run(main())

Swap mcp for "http://localhost:8000/mcp" and the exact same code talks to a remote server.

Contributing

We are passionate about supporting contributors of all levels of experience and would love to see you get involved in the project. See the contributing guide to get started.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Global Ranking

8.5
Trust ScoreMCPHub Index

Based on codebase health & activity.

Manual Config

{ "mcpServers": { "modelcontextprotocol-python-sdk": { "command": "npx", "args": ["modelcontextprotocol-python-sdk"] } } }