YouTube MCP Server
A Model Context Protocol (MCP) server that provides tools for searching YouTube videos, retrieving transcripts, and performing semantic search over video content.
Agenten stärken
Installation vom Herausgeber. Kein PlugMCP-Endpunkt.
Host a copy with our keys and logs.
Noch kein paketiertes Release in der Registry. Folgen Sie der README des Repositorys.
Remote-URL oder ein Befehl auf Ihrem Rechner? Worin sich die beiden Installationen unterscheiden
Auf PlugMCP ausführen
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
StartenVom Herausgeber
A Model Context Protocol (MCP) server that provides tools for searching YouTube videos, retrieving transcripts, and performing semantic search over video content.
YouTube MCP Server is an AI-powered solution designed to revolutionize your YouTube experience. It empowers users to search for YouTube videos, retrieve detailed transcripts, and perform semantic searches over video content—all without relying on the official API. By integrating with a vector database, this server streamlines content discovery.
If you find this project helpful and would like to support future projects, consider buying us a coffee! Your support helps us continue building innovative AI solutions.
Your contributions go a long way in fueling our passion for creating intelligent and user-friendly applications.
Clone this repository
Create and activate a virtual environment using uv:
uv venv
# On Windows:
.venv\Scripts\activate
# On Unix/MacOS:
source .venv/bin/activate
uv pip install -r requirements.txt
.env file with your Google API key:GOOGLE_API_KEY=your_api_key_here
There are two ways to run the MCP server:
To start the MCP server directly:
uv run python server.py
Add to your Claude settings without using any package manager this works for windows:
"mcpServers": {
"youtube": {
"command": "C:\\Path\\To\\Your\\Project\\.venv\\Scripts\\python.exe",
"args": ["C:\\Path\\To\\Your\\Project\\server.py"],
"env": {
"GOOGLE_API_KEY": "your_api_key_here"
}
}
}
Using Uv package manager this works for windows:
"mcpServers": {
"youtube": {
"command": "uv",
"args": ["--directory", "C:\\Path\\To\\Your\\Project", "run", "server.py"],
"env": {
"GOOGLE_API_KEY": "your_api_key_here"
}
}
}
The server provides the following tools:
search-youtube: Search for YouTube videos based on a query
get-transcript: Get the transcript of a YouTube video
store-video-info: Store video information and transcript in the vector database
search-transcripts: Search stored video transcripts using semantic search
This server can be used with any MCP-compatible client, such as Claude Desktop App. The tools will be automatically discovered and made available to the client.
If you encounter any issues:
.env fileContributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.
YouTube MCP Server is an AI-powered solution designed to revolutionize your YouTube experience. It empowers users to search for YouTube videos, retrieve detailed transcripts, and perform semantic sear
Übersicht
YouTube MCP Server is an AI-powered solution designed to revolutionize your YouTube experience. It empowers users to search for YouTube videos, retrieve detailed transcripts, and perform semantic searches over video content—all without relying on the official API. By integrating with a vector database, this server streamlines content discovery.
Tools
Noch keine Tool-Liste. Remote-Server erhalten eine nach dem ersten Health-Check.
FAQ
Kopieren Sie auf dieser Seite die stdio-Konfiguration für Cursor, Claude Desktop, Claude Code oder VS Code. Sie nutzt die Installation des Herausgebers, keinen PlugMCP-Proxy.
In diesem Eintrag ist keine erforderliche Umgebungsvariable aufgeführt.
Youtube läuft lokal über stdio.
Zuletzt geprüft: 2026-10-27. YouTube MCP Server is an AI-powered solution designed to revolutionize your YouTube experience. It empowers users to search for YouTube videos, retrieve detailed transcripts, and perform semantic searches over video content—all without relying on the official API. By integrating with a vector database, this server streamlines content discovery.