What are the prerequisites?
A Google account with YouTube access and YouTube API credentials (Client ID, Client Secret, and Refresh Token).
@saginawj
基本信息
An MCP Server for personal YouTube feeds via OAuth
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。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
An MCP tool that enables natural language interaction with your personal YouTube experience. It integrates with the YouTube Data API v3 to fetch trending videos, recent uploads from subscribed channels, and user activity, allowing you to interact with YouTube content via your favorite LLM client.
Set up YouTube API credentials (Client ID, Client Secret, and Refresh Token) via Google Cloud Console, then use OAuth authentication to connect the MCP tool. Once configured, use natural language commands in your LLM client to query YouTube data, such as asking for trending videos or subscribed channel feeds.
A Google account with YouTube access and YouTube API credentials (Client ID, Client Secret, and Refresh Token).
Navigate to the Google Cloud Console, create a project, enable the YouTube Data API v3, and generate OAuth credentials.
You need to use/build a frontend/api that OAuth with Google to exchange an access code for a refresh token, then use that refresh token to connect with the MCP server.
You can ask for trending videos, recent uploads from subscribed channels, and your own activity like latest comments or uploads.

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