What are the prerequisites for using YouTube MCP Server?
Node.js v16+ and a YouTube Data API key are required.
@MCP-Mirror
基本信息
Mirror of
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"coyaSONG_youtube-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@coyaSONG/youtube-mcp-server",
"--client",
"claude"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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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