youtube-mcp-server

KARINGU-RAVI/youtube-mcp-server

3.2

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A Model Context Protocol (MCP) server that provides tools to interact with YouTube data, including searching videos, fetching transcripts, retrieving metadata, analyzing comments, and comparing channel statistics.

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YouTube MCP Server

A Model Context Protocol (MCP) server that provides tools to interact with YouTube data, including searching videos, fetching transcripts, retrieving metadata, analyzing comments, and comparing channel statistics.

Prerequisites

  • Node.js (v16 or higher)
  • A Google Cloud Project with YouTube Data API v3 enabled.
  • An API Key from the Google Cloud Console.

Setup

  1. Clone/Open the repository.
  2. Install dependencies: 
    npm install
  3. Configure Environment Variables:
    • Create a .env file in the root directory (if not already present).
    • Add your YouTube API Key: 
      YOUTUBE_API_KEY=your_actual_api_key_here

Build

Compile the TypeScript code:

npm run build

Running the Server

To run the server locally (stdio mode):

npm start

Available Tools

  • search_youtube_videos: Search for videos by query.
    • Args: query (string), max_results (number, optional)
  • get_video_transcript: Get raw transcript/captions for a video.
    • Args: videoId (string), language (string, optional)
  • get_video_metadata: Get details like views, likes, tags, etc.
    • Args: videoId (string)
  • analyze_video_comments: Get recent comments for analysis.
    • Args: videoId (string), max_results (number, optional)
  • compare_channels_stats: Compare metrics of multiple channels.
    • Args: channelIds (string[])

Usage with MCP Client

Configure your MCP client (e.g., Claude Desktop, or an IDE extension) to point to this server. Command: node Args: [path/to/project]/dist/index.js