Extract YouTube Video Data and Subtitles
YouTube DLP MCP Server: Extract video info, subtitles, and top comments from YouTube without downloading.
Why it matters
Integrate AI assistants with YouTube to extract comprehensive video metadata, subtitles, and top comments without needing to download the video content.
Outcomes
What it gets done
Retrieve detailed video information including title, views, and likes.
Extract subtitles and captions with language selection.
Fetch top comments sorted by engagement.
Support for proxy configurations for secure access.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-youtube-dlp | bash Capabilities
Tools your agent gets
Extracts complete video metadata including title, views, likes, description, and more.
Extracts subtitles and captions with language selection and automatic subtitle support.
Retrieves top comments sorted by likes with author mentions (maximum 20, default 10).
Overview
YouTube DLP MCP Server
A Model Context Protocol (MCP) server for interacting with YouTube videos. When needing to extract video information, subtitles, or comments from YouTube without downloading.
What it does
A Model Context Protocol (MCP) server that allows AI to interact with YouTube videos. Extract video information, subtitles, and top comments without downloading.
Features:
- 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
Example Usage:
To extract video information, use the get-video-info tool:
{
"name": "get-video-info",
"arguments": {
"url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
}
}
Source README
YouTube DLP MCP Server
๐ฌ A Model Context Protocol (MCP) server that lets your AI interact with YouTube videos - extract video information, subtitles, and top comments without downloading.
โจ Features
- ๐น Extract Video Info - Get comprehensive metadata (title, views, likes, description, etc.)
- ๐ Extract Subtitles - Download manual subtitles and auto-generated captions
- ๐ฌ Extract Comments - Get top comments sorted by likes with creator badges
- ๐ Proxy Support - Works with HTTP/HTTPS/SOCKS proxies
- ๐ Fast & Async - Non-blocking operations using asyncio
- ๐ง Easy Integration - Standard MCP protocol for AI assistants
๐ Quick Start
Install with uvx (Recommended)
uvx youtube-dlp-server
Install with pip
pip install youtube-dlp-server
youtube-dlp-server
Install from source
git clone <repository-url>
cd youtube-dlp-server
pip install -e .
python -m youtube_dlp_server
๐ ๏ธ Usage
Available Tools
1. get-video-info
Extract comprehensive video metadata:
{
"name": "get-video-info",
"arguments": {
"url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
}
}
2. get-video-subtitles
Extract subtitles and captions:
{
"name": "get-video-subtitles",
"arguments": {
"url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
"languages": ["en", "es"],
"include_auto_captions": true
}
}
3. get-top-comments
Get top comments (max 20, default 10):
{
"name": "get-top-comments",
"arguments": {
"url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
"count": 10
}
}
Proxy Configuration
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
๐งช Testing
With MCP Inspector
npx @modelcontextprotocol/inspector youtube-dlp-server
Manual Testing
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'โ
Video: {info[\"title\"]}')
asyncio.run(test())
"
๐ Requirements
- Python 3.11+
- yt-dlp for YouTube processing
- MCP framework for AI integration
๐ค Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests
- Submit a pull request
๐ License
MIT License - see LICENSE file for details.
๐ Links
- Homepage: GitHub Repository
- Issues: Report Issues
- MCP Documentation: Model Context Protocol
Made with โค๏ธ for the AI community
FAQ
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Discussion
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