XenoDocs MCP - Up-to-date Documentation For Any Library

❌ Without XenoDocs

LLMs rely on outdated or generic information about the libraries you use. You get:

• ❌ Code examples are outdated and based on year-old training data

• ❌ Hallucinated APIs that don't even exist

• ❌ Generic answers for old package versions

Related MCP server: Context7 MCP

✅ With XenoDocs

XenoDocs MCP pulls up-to-date, version-specific documentation and code examples straight from the source — and places them directly into your prompt.

Tell your AI assistant to search for library documentation:

Search for "authentication middleware" in the FastAPI library documentation

Find examples of async functions in the httpx library

XenoDocs fetches up-to-date code examples and documentation right into your LLM's context.

• 1️⃣ Write your prompt naturally

• 2️⃣ Ask for specific library documentation

• 3️⃣ Get working code answers

No tab-switching, no hallucinated APIs that don't exist, no outdated code generation.

�️ Installation

Requirements

• Python >= 3.10

• VS Code, Cursor, Claude Desktop, or another MCP Client

• XenoDocs API Key (Get yours by creating an account at xenodocs.com/account/api-keys

Method 1: Using uv (Recommended)

uv add xenodocs-mcp-server

Method 2: Using pip

pip install xenodocs-mcp-server

Add this to your VS Code MCP config file (.vscode/mcp.json). See VS Code MCP docs for more info.

VS Code Local Server Connection

{
  "servers": {
    "xenodocs-mcp-server": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "xenodocs-mcp-server"
      ],
      "env": {
        "XENODOCS_API_KEY": "YOUR_API_KEY"
      }
    }
  },
  "inputs": []
}

Alternative configurations:

Using uv project:

{
  "servers": {
    "xenodocs-mcp-server": {
      "type": "stdio",
      "command": "uv",
      "args": ["run", "xenodocs-mcp-server"],
      "env": {
        "XENODOCS_API_KEY": "YOUR_API_KEY"
      }
    }
  },
  "inputs": []
}

Using Python module:

{
  "servers": {
    "xenodocs-mcp-server": {
      "type": "stdio",
      "command": "python",
      "args": ["-m", "xenodocs_mcp_server.server"],
      "env": {
        "XENODOCS_API_KEY": "YOUR_API_KEY"
      }
    }
  },
  "inputs": []
}

Add to your Cursor MCP configuration (~/.cursor/mcp.json):

{
  "mcpServers": {
    "xenodocs": {
      "command": "uvx",
      "args": ["xenodocs-mcp-server"],
      "env": {
        "XENODOCS_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Add to your Claude Desktop configuration:

{
  "mcpServers": {
    "xenodocs": {
      "command": "uvx",
      "args": ["xenodocs-mcp-server"],
      "env": {
        "XENODOCS_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Add to your Windsurf MCP configuration:

{
  "mcpServers": {
    "xenodocs": {
      "command": "uvx",
      "args": ["xenodocs-mcp-server"],
      "env": {
        "XENODOCS_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Add to your Zed settings.json:

{
  "context_servers": {
    "xenodocs": {
      "source": "custom",
      "command": "uvx",
      "args": ["xenodocs-mcp-server"],
      "env": {
        "XENODOCS_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

🔨 Available Tools

XenoDocs MCP provides the following tools that LLMs can use:

• search_library_name: Search for matching library names in the XenoDocs documentation database.

  • library_name (required): The name or partial name of the library to search for

  • top_k (optional): Maximum number of matching libraries to return (default: 3, max: 20)

• search_library: Search for specific information within a library's documentation.

  • library_name (required): The exact name of the library to search in

  • query (required): The search query describing what you're looking for

💻 Development

Clone the project and install dependencies:

git clone https://github.com/Xenodocs/xenodocs-mcp-server.git
cd xenodocs-mcp-server
uv sync

Set your API key:

export XENODOCS_API_KEY="your-api-key"

Run the server:

uv run xenodocs-mcp-server

Testing with MCP Inspector

npx @modelcontextprotocol/inspector uv run xenodocs-mcp-server

🚨 Troubleshooting

If you get "command not found" errors:

1. For uv projects: Make sure you're in a directory with a pyproject.toml file

2. For pip installation: Use the Python module method:

   {
     "command": "python",
     "args": ["-m", "xenodocs_mcp_server.server"]
   }

If you see WARNING: XENODOCS_API_KEY not set!, make sure you've configured the API key in your MCP client configuration or as a system environment variable.

1. Restart your MCP client completely

2. Check that your installation method is working by running the command manually

3. Check client output/logs for MCP connection errors

4. Verify you have the correct Python version (>=3.10)