🎬 A Model Context Protocol (MCP) server that lets your AI interact with YouTube videos - extract video information, subtitles, and top comments without downloading.

• 📹 Extract Video Info - Get comprehensive metadata (title, views, likes, description, etc.)
• 📝 Extract Subtitles - Download manual subtitles and auto-generated captions
• 💬 Extract Comments - Get top comments sorted by likes with creator badges
• 🌐 Proxy Support - Works with HTTP/HTTPS/SOCKS proxies
• 🚀 Fast & Async - Non-blocking operations using asyncio
• 🔧 Easy Integration - Standard MCP protocol for AI assistants

uvx youtube-dlp-server

pip install youtube-dlp-server
youtube-dlp-server

git clone <repository-url>
cd youtube-dlp-server
pip install -e .
python -m youtube_dlp_server

Extract comprehensive video metadata:

{
  "name": "get-video-info",
  "arguments": {
    "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
  }
}

Extract subtitles and captions:

{
  "name": "get-video-subtitles",
  "arguments": {
    "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
    "languages": ["en", "es"],
    "include_auto_captions": true
  }
}

Get top comments (max 20, default 10):

{
  "name": "get-top-comments",
  "arguments": {
    "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
    "count": 10
  }
}

Set the PROXY_URL environment variable:

# HTTP/HTTPS proxy
export PROXY_URL="http://proxy.example.com:8080"

# SOCKS proxy with auth
export PROXY_URL="socks5://user:pass@127.0.0.1:1080/"

# Run with proxy
youtube-dlp-server

npx @modelcontextprotocol/inspector youtube-dlp-server

python -c "
import asyncio
from youtube_dlp_server.helper import extract_video_info
async def test():
    info = await extract_video_info('https://www.youtube.com/watch?v=dQw4w9WgXcQ')
    print(f'✅ Video: {info[\"title\"]}')
asyncio.run(test())
"

• Python 3.11+
• yt-dlp for YouTube processing
• MCP framework for AI integration

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

MIT License - see LICENSE file for details.

• Homepage: GitHub Repository
• Issues: Report Issues
• MCP Documentation: Model Context Protocol

Made with ❤️ for the AI community