How do I get a YouTube API key?
Go to the Google Cloud Console, create a new project (or select an existing one), enable the YouTube Data API v3, and create API credentials (an API key). Copy the key for configuration.
@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": {
"ZubeidHendricks_youtube-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@modelcontextprotocol/server-youtube",
"--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 implementation for YouTube, enabling AI language models to interact with YouTube content through a standardized interface. It is designed for developers building AI applications that need to access YouTube data, transcripts, channels, and playlists.
Install via npm or automatically via Smithery. Set the YOUTUBE_API_KEY environment variable with your YouTube Data API v3 key, and optionally YOUTUBE_TRANSCRIPT_LANG (defaults to 'en'). Add the server configuration to your MCP client (e.g., Claude Desktop) using the provided JSON format.
Go to the Google Cloud Console, create a new project (or select an existing one), enable the YouTube Data API v3, and create API credentials (an API key). Copy the key for configuration.
Install via npm with `npm install @modelcontextprotocol/server-youtube` or automatically via Smithery using the command `npx -y @smithery/cli install @modelcontextprotocol/server-youtube --client claude`.
Yes, the server supports multiple languages. You can specify a default language with the `YOUTUBE_TRANSCRIPT_LANG` environment variable (defaults to 'en').
Add a `youtube` entry under `mcpServers` in your client configuration with the command `npx -y @modelcontextprotocol/server-youtube` and the `YOUTUBE_API_KEY` in the `env` object.
The default language for transcripts is English ('en'), set via the optional `YOUTUBE_TRANSCRIPT_LANG` environment variable.

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