Sometimes you don’t write the docs yourself – you simply want the full, up‑to‑date documentation of an open‑source library on GitHub available to your AI assistant. The community projects below turn any repository into a remote MCP server that streams documentation on demand.

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Available Services

opengraph.githubassets

Context7

GitHub Repo starsGitHub LicenseGitHub last commit
opengraph.githubassets

GitMCP.io

GitHub Repo starsGitHub LicenseGitHub last commit

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Context7

Context7 Context7 automatically ingests popular open‑source libraries (and many private ones too) and exposes them as remote MCP servers.
Add a MCP server in ~/.cursor/mcp.json:
{
  "mcpServers": {
    "context7": {
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp@latest"]
    }
  }
}

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Example: Using Context7 with Three.js

After installing Context7, you can prompt your AI assistant to use Three.js documentation like this: 
Can you help me create a basic Three.js scene with a rotating cube?
Use context7
The AI will then dynamically query Context7 for relevant Three.js documentation as it helps you.

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GitMCP.io

GitMCP GitMCP lets you turn any public GitHub repository into a fully‑featured MCP server just by changing the domain from github.com → gitmcp.io (or github.io → gitmcp.io). No build step, no package installs. 
{
  "mcpServers": {
    "threejs": {
      "url": "https://gitmcp.io/mrdoob/three.js"
    }
  }
}

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Example: Three.js Documentation

Once either MCP server is configured, the following single‑shot prompt in Cursor + Claude illustrates the improvement:
Build a Three.js scene featuring a controllable realistic person navigating a textured dynamic urban environment with realistic lighting and subtle bloom effects. Ensure keyboard controls (WASD) for movement.

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Side‑by‑Side Result (GitMCP vs. No GitMCP)

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Benefits of GitHub-Powered MCP Servers

These tools offer several advantages:
  • Zero Documentation Effort: Use existing documentation from any GitHub repository
  • Always Up-to-Date: Documentation is pulled directly from the latest repository version
  • On-Demand Access: AI assistants query only what they need when they need it
  • Broad Compatibility: Works with virtually any open-source project on GitHub
  • Simplified Integration: Easy to add to your IDE or AI assistant