What does YouTube MCP Server do?
It provides MCP tools to search YouTube, retrieve video transcripts, store them in a vector database, and perform semantic search over stored transcripts.
@IA-Programming
Basic information
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
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"Youtube-MCP": {
"command": "uv",
"args": [
"venv"
]
}
}
}query: Search query string
video_url: URL of the YouTube video
video_url: URL of the YouTube video
query: Search query
A Model Context Protocol (MCP) server that provides tools for searching YouTube videos, retrieving transcripts, and performing semantic search over video content. It uses a Google API key for embeddings and is designed for AI workflows.
Install dependencies with uv, create a .env file with your Google API key, and run uv run python server.py directly or configure the server in your MCP client (e.g., Claude Desktop) by providing the path to server.py and the API key. Once running, the client automatically discovers the tools.
It provides MCP tools to search YouTube, retrieve video transcripts, store them in a vector database, and perform semantic search over stored transcripts.
Python 3.8+, a Google API key for embeddings, and the `uv` package manager.
You can start it directly with `uv run python server.py` or configure it in Claude.app settings by adding the server path and your API key to the MCP servers configuration.
Four tools: `search-youtube`, `get-transcript`, `store-video-info`, and `search-transcripts`.
Ensure your Google API key is correctly set in the `.env` file, all dependencies are installed, the server is running, and check for error messages in the server output.
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