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2025-04-08 21:11:30 +03:00
2025-03-30 10:14:50 +03:00
2025-04-08 20:29:04 +03:00
2025-03-30 10:14:50 +03:00

Context7 MCP Server

In this repository, we provide an MCP Server for Context7, which offers access to high-quality documentation for popular libraries.

This lets you use Cursor, Windsurf, Claude Desktop, or any MCP Client, to use natural language to search and access documentation for libraries, e.g.:

  • "What are the main features of React hooks?"
  • "How do I implement authentication with Next.js?"
  • "Rate limiting with Redis"
  • "Get examples of using React Query"

Usage

Requirements

  • Node.js >= v18.0.0
  • Cursor, Windsurf, Claude Desktop or another MCP Client

How to use locally

Installing for Cursor

Add this command to the MCP list in Cursor. For more info, check the Cursor MCP docs.

npx -y @upstash/context7-mcp

Installing for Windsurf

Add this to your Windsurf MCP config file. For more info, check the Windsurf MCP docs.

{
  "mcpServers": {
    "context7": {
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp"]
    }
  }
}

Tools

  • list-available-docs: Lists all available documentation libraries from Context7
  • get-library-documentation: Retrieves documentation for a specific library with options for:
    • libraryName: Name of the library to retrieve docs for
    • topic: Specific topic within the library
    • tokens: Maximum tokens to retrieve (default: 5000)

Development

Clone the project and run:

npm install

You can use the following commands to format and lint the code:

npm run format
npm run lint

Building

npm run build

Local Configuration

{
  "mcpServers": {
    "context7": {
      "command": "node",
      "args": ["/ABSOLUTE/PATH/TO/PARENT/FOLDER/context7-mcp/build/index.js"]
    }
  }
}

Testing with MCP Inspector

You can also use the MCP Inspector to test the tools by following the MCP documentation for setting up the inspector.

npx -y @modelcontextprotocol/inspector npx @upstash/context7-mcp

License

MIT

Description
Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
Readme MIT 933 KiB
Languages
JavaScript 66.7%
TypeScript 29.2%
Dockerfile 4.1%