What are the prerequisites for using YouTube MCP Server?
Node.js v16+ and a YouTube Data API key are required.
@MCP-Mirror
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"coyaSONG_youtube-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@coyaSONG/youtube-mcp-server",
"--client",
"claude"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
A Model Context Protocol (MCP) server for interacting with YouTube data. It provides resources and tools to query YouTube videos, channels, comments, and transcripts through a stdio interface, enabling AI assistants to access YouTube content.
Install Node.js v16+ and obtain a YouTube Data API key. Install manually by cloning the repository and running npm install, then building with npm run build and starting with npm start. Alternatively, install automatically via Smitherly with npx -y @smithery/cli install @coyaSONG/youtube-mcp-server --client claude. Set your API key in a .env file as YOUTUBE_API_KEY. Docker deployment is also supported.
Node.js v16+ and a YouTube Data API key are required.
Set the `YOUTUBE_API_KEY` environment variable in a `.env` file in the root directory.
The server communicates via a stdio interface.
Yes, the project includes a Dockerfile for containerized deployment.
It handles invalid API key, video or channel not found, transcript not available, and network issues with appropriate error messages.

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