superdocs 0.2.1

Enhanced MCP server for documentation with superpowers

SuperDocs - Enhanced MCP Documentation Server

Overview

SuperDocs is an enhanced version of the MCP LLMS-TXT Documentation Server with additional superpowers! 🚀

llms.txt is a website index for LLMs, providing background information, guidance, and links to detailed markdown files. IDEs like Cursor and Windsurf or apps like Claude Code/Desktop can use llms.txt to retrieve context for tasks. However, these apps use different built-in tools to read and process files like llms.txt. The retrieval process can be opaque, and there is not always a way to audit the tool calls or the context returned.

MCP offers a way for developers to have full control over tools used by these applications. SuperDocs extends the original mcpdoc with enhanced features and better performance.

✨ SuperDocs Features

• 🔍 Enhanced documentation parsing
• 🚀 Better performance and caching
• 📚 Extended format support
• 🛡️ Improved security
• 🔧 Custom integrations
• 🧭 Hierarchical navigation with browse_page (NEW in v0.2.0)

Installation

Quick Start with uvx (Recommended)

uvx --from superdocs superdocs \
    --urls "LangGraph:https://langchain-ai.github.io/langgraph/llms.txt" \
    --transport stdio

Install from PyPI

pip install superdocs

Usage

Command Line

# Basic usage
superdocs --urls "LangGraph:https://langchain-ai.github.io/langgraph/llms.txt"

# Multiple sources
superdocs --urls "LangGraph:https://langchain-ai.github.io/langgraph/llms.txt" "LangChain:https://python.langchain.com/llms.txt"

# Using config file
superdocs --yaml config.yaml

MCP Configuration

Cursor

Add to your ~/.cursor/mcp.json:

{
  "mcpServers": {
    "superdocs": {
      "command": "uvx",
      "args": [
        "--from",
        "superdocs",
        "superdocs",
        "--urls",
        "LangGraph:https://langchain-ai.github.io/langgraph/llms.txt",
        "--transport",
        "stdio"
      ]
    }
  }
}

Windsurf

Add to your ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "superdocs": {
      "command": "uvx",
      "args": [
        "--from",
        "superdocs", 
        "superdocs",
        "--urls",
        "LangGraph:https://langchain-ai.github.io/langgraph/llms.txt",
        "--transport",
        "stdio"
      ]
    }
  }
}

Claude Desktop

Add to your ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "superdocs": {
      "command": "uvx",
      "args": [
        "--from",
        "superdocs",
        "superdocs", 
        "--urls",
        "LangGraph:https://langchain-ai.github.io/langgraph/llms.txt",
        "--transport",
        "stdio"
      ]
    }
  }
}

🔧 Development

Local Development

git clone https://gitlab.com/nikakoss23/superdocs.git
cd superdocs
uv venv
source .venv/bin/activate  # На Windows: .venv\Scripts\activate
uv pip install -e ".[test]"

Running Tests

pytest tests/

Building

uv build

🚀 Contributing

1. Fork the project on GitLab
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Merge Request

📝 License

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

🙏 Acknowledgments

Based on the original mcpdoc by LangChain AI.

📚 Documentation

For more information about the Model Context Protocol, see:

• MCP Documentation
• MCP Specification

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