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MCP Python SDK

Official Python SDK for building MCP servers

Developer ToolsOpen SourceClaudeCursorClaude CodeVS CodeEasy✓ Verified
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How to Install MCP Python SDK

$pip install mcp

Requires Claude Desktop, Cursor, Windsurf, or another MCP-compatible client.

About MCP Python SDK

The official Python SDK for the Model Context Protocol. Provides decorators for tools, resources and prompts, handles stdio and streamable HTTP transports, and is the standard way to build a custom Python MCP server.

MCP Python SDK is a Developer Tools MCP server designed for professional engineers and engineering teams. It enables wiring AI assistants into the inner loop of writing and shipping code by exposing Git, package, build, and CLI operations as MCP tools. Key capabilities include git and github operations (status, blame, prs), package and dependency inspection, build and test runner integration, and structured tool calls that work cleanly inside an LLM context. It integrates with Git, GitHub, GitLab, npm, pnpm, Docker, and common build systems, and is best suited for professional engineers and engineering teams who need reviewing diffs and opening prs from chat.

Key Features

  • python
  • sdk
  • framework
  • Git and GitHub operations (status, blame, PRs)
  • Package and dependency inspection
  • Build and test runner integration

Pricing

Free
$0
  • Core MCP server
  • Community support
  • Works with any MCP client
Pro
  • Everything in Free
  • Higher usage limits
  • Priority support
Business
Custom
  • Everything in Pro
  • SLA & SSO
  • Dedicated support

Tier details are indicative — visit the MCP Python SDK website for current pricing.

Pros & Cons

Pros

  • Acts more like a pair programmer with real tools
  • Tight scoping (one repo, dry-run) limits blast radius
  • Keeps flow inside the editor

Cons

  • Write operations require explicit guardrails
  • Quality of output depends on repo hygiene
  • Larger monorepos may need extra filtering

Best For

  • Reviewing diffs and opening PRs from chat
  • Triaging CI failures
  • Scaffolding new packages or modules
  • Repo-wide refactors with verification

Screenshots

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Frequently Asked Questions

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