YouTube MCP Server

This project is a Model Context Protocol (MCP) server designed to facilitate interaction between AI language models and YouTube content via a standardized interface. It enables AI models to access and process YouTube data efficiently.

Features

The server offers comprehensive features, including:

• Video Information: Retrieve video details, channel videos, and statistics.
• Transcript Management: Access transcripts in multiple languages with timestamped captions and search capabilities.
• Channel Management: Obtain channel details, playlists, and statistics, with search functionality.
• Playlist Management: List playlist items, get playlist details, search within playlists, and access video transcripts.

Installation

Installation is supported via Smithery or manual installation using npm. Configuration requires setting the YOUTUBE_API_KEY environment variable.

Usage

The server can be integrated with an MCP client like Claude Desktop by configuring the client with the server's command and environment settings.

Development

Development commands include installing dependencies, running tests, building the project, and linting.