What are the prerequisites?
A Google account with YouTube access and YouTube API credentials (Client ID, Client Secret, and Refresh Token).
@saginawj
基本情報
An MCP Server for personal YouTube feeds via OAuth
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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