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.
Design quality gate for AI-generated UI. Scores any live URL against a published contract of deterministic checks, with an A–F grade, a per-check breakdown and AI-slop pattern findings; validates DTCG token files and Lot

Make AI-drawn video from chat. Claude, Cursor or Claude Code plans the film, the model draws every frame in code at 30 fps, and you edit it on a timeline with narration, music and sound effects.

Design your mobile app UI with AI, then have your coding agent build the real app from it.

Generate images, video, audio and short films with 140+ AI models from any MCP client. PixelDojo picks the right model (Flux, Seedream, Seedance, Veo, Kling, WAN, Nano Banana, GPT Image), renders it and returns download
Drive your SVGator account from any AI assistant. Prompt an animation, get an editable project back, and export it as SVG, Lottie, GIF, MP4, and more, then open it in the editor to finish by hand.
Comments