🧑🚀 全世界最好的 llm 资料总结(数据处理、模型训练、模型部署、 O1 模型、 MCP 、小语言模型、视觉语言模型) | Zusammenfassung der weltbesten LLM -Ressourcen.

YouTube MCP Server
A Model Context Protocol server that provides tools to interact with YouTube videos, primarily for retrieving video subtitles. This server enables LLMs to extract content from YouTube videos for analysis and processing.
Available Tools
-
watch_youtube_video
- Downloads and processes subtitles for a YouTube video.- Required arguments:
-
url
(string): The URL of the YouTube video to watch. -
sub_lang
(string): The language of the subtitles to download.
-
- Required arguments:
Installation
Prerequisites
This server requires:
- Python 3.11 or later
- yt-dlp (must be installed and available in your PATH)
Using uv
uv run src/server.py
Integration
- Start the server:
docker build -t youtube-mcp:latest .
docker run --rm -i --name youtube-mcp youtube-mcp:latest
- On cursor, add the following to your
mcp.json
file:
{
"mcpServers": {
"youtube-mcp": {
"transport": "sse",
"url": "http://localhost:8000/sse",
"description": "A simple MCP server to watch YouTube videos and download subtitles"
}
}
}
Examples of Questions for Cursor
- "What does this YouTube video talk about?" (provide URL)
- "Can you summarize this YouTube video for me?" (provide URL)
- "Extract the key points from this YouTube lecture" (provide URL)
- "Watch this YouTube tutorial and explain the steps" (provide URL)
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Reviews

user_eIuwBIla
I recently started using the youtube-mcp application by RohitMidha23 and it has been a game changer for managing my YouTube content! The interface is user-friendly and it saves me so much time in curating and organizing my playlists. Highly recommended for any YouTube enthusiast!