Youtube Mcp
What is Youtube Mcp
youtube-mcp is a Model Context Protocol server designed to interact with YouTube videos, primarily for retrieving video subtitles. It enables Large Language Models (LLMs) to extract content from YouTube videos for analysis and processing.
Use cases
Use cases for youtube-mcp include summarizing YouTube videos, extracting key points from lectures, providing explanations for tutorials, and analyzing video content for research purposes.
How to use
To use youtube-mcp, first ensure you have Python 3.11 or later and yt-dlp installed. Start the server by running ‘uv run src/server.py’ or using Docker with ‘docker build -t youtube-mcp:latest .’ and ‘docker run --rm -i --name youtube-mcp youtube-mcp:latest’. Then, configure your mcp.json file to include the server details.
Key features
Key features of youtube-mcp include the ability to download and process subtitles from YouTube videos, support for multiple subtitle languages, and integration capabilities with other applications via the MCP protocol.
Where to use
youtube-mcp can be used in various fields such as education, content creation, and research, where analyzing video content and extracting information from YouTube is essential.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Youtube Mcp
youtube-mcp is a Model Context Protocol server designed to interact with YouTube videos, primarily for retrieving video subtitles. It enables Large Language Models (LLMs) to extract content from YouTube videos for analysis and processing.
Use cases
Use cases for youtube-mcp include summarizing YouTube videos, extracting key points from lectures, providing explanations for tutorials, and analyzing video content for research purposes.
How to use
To use youtube-mcp, first ensure you have Python 3.11 or later and yt-dlp installed. Start the server by running ‘uv run src/server.py’ or using Docker with ‘docker build -t youtube-mcp:latest .’ and ‘docker run --rm -i --name youtube-mcp youtube-mcp:latest’. Then, configure your mcp.json file to include the server details.
Key features
Key features of youtube-mcp include the ability to download and process subtitles from YouTube videos, support for multiple subtitle languages, and integration capabilities with other applications via the MCP protocol.
Where to use
youtube-mcp can be used in various fields such as education, content creation, and research, where analyzing video content and extracting information from YouTube is essential.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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.jsonfile:
{
"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)
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
