MCP Website Downloader

Simple MCP server for downloading documentation websites and preparing them for RAG indexing.

Features

• Downloads complete documentation sites, well big chunks anyway.
• Maintains link structure and navigation, not really. lol
• Downloads and organizes assets (CSS, JS, images), but isn't really AI friendly and it all probably needs some kind of parsing or vectorizing into a db or something.
• Creates clean index for RAG systems, currently seems to make an index in each folder, not even looked at it.
• Simple single-purpose MCP interface, yup.

Installation

Fork and download, cd to the repository.

uv venv
./venv/Scripts/activate
pip install -e .

Put this in your claude_desktop_config.json with your own paths:

   "mcp-windows-website-downloader": {
     "command": "uv",
     "args": [
       "--directory",
       "F:/GithubRepos/mcp-windows-website-downloader",
       "run",
       "mcp-windows-website-downloader",
       "--library",
       "F:/GithubRepos/mcp-windows-website-downloader/website_library"
     ]
   },

Other Usage you don't need to worry about and may be hallucinatory lol:

1. Start the server:

python -m mcp_windows_website_downloader.server --library docs_library

2. Use through Claude Desktop or other MCP clients:

result = await server.call_tool("download", {
    "url": "https://docs.example.com"
})

Output Structure

docs_library/
  domain_name/
    index.html
    about.html
    docs/
      getting-started.html
      ...
    assets/
      css/
      js/
      images/
      fonts/
    rag_index.json

Development

The server follows standard MCP architecture:

src/
  mcp_windows_website_downloader/
    __init__.py
    server.py    # MCP server implementation
    core.py      # Core downloader functionality
    utils.py     # Helper utilities

Components

• server.py: Main MCP server implementation that handles tool registration and requests
• core.py: Core website downloading functionality with proper asset handling
• utils.py: Helper utilities for file handling and URL processing

Design Principles

1. Single Responsibility

   • Each module has one clear purpose
   • Server handles MCP interface
   • Core handles downloading
   • Utils handles common operations

2. Clean Structure

   • Maintains original site structure
   • Organizes assets by type
   • Creates clear index for RAG systems

3. Robust Operation

   • Proper error handling
   • Reasonable depth limits
   • Asset download verification
   • Clean URL/path processing

RAG Index

The rag_index.json file contains:

{
  "url": "https://docs.example.com",
  "domain": "docs.example.com", 
  "pages": 42,
  "path": "/path/to/site"
}

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request

License

MIT License - See LICENSE file

Error Handling

The server handles common issues:

• Invalid URLs
• Network errors
• Asset download failures
• Malformed HTML
• Deep recursion
• File system errors

Error responses follow the format:

{
  "status": "error",
  "error": "Detailed error message"
}

Success responses:

{
  "status": "success",
  "path": "/path/to/downloaded/site",
  "pages": 42
}