Youtube Data MCP Server

🚀 YouTube Data MCP Server

A Model Context Protocol (MCP) server leveraging the YouTube Data API. It enables AI language models to interact with YouTube content through a standardized interface.

🚀 Quick Start

The YouTube Data MCP Server is a powerful tool that allows AI language models to interact with YouTube content via a standardized interface. It provides a wide range of features for video information retrieval, text subtitle management, channel analysis, and trend analysis.

✨ Features

Video Information

• Retrieve detailed video information (title, description, duration, statistics).
• Search for videos based on keywords.
• Get related videos for a specific video.
• Calculate and analyze video engagement ratios.

Text Subtitle Management

• Retrieve video subtitles with multi - language support.
• Specify language preferences for text subtitles.
• Get timestamped subtitles for precise content referencing.

Channel Analysis

• View detailed channel statistics (subscribers, views, number of videos).
• Get the top - viewed videos of a channel.
• Analyze channel growth and engagement metrics.

Trend Analysis

• View popular videos by region and category.
• Compare performance metrics of multiple videos.
• Discover trending content in specific categories.

📦 Installation

Automatic Installation

Use the following command to automatically install via Smithery:

npx -y @smithery/cli install @icraft2170/youtube-data-mcp-server

Manual Installation

Clone the repository and run:

git clone https://github.com/icraft2170/youtube-data-mcp-server.git
cd youtube-data-mcp-server
npm install

📚 Documentation

Provided Tools

The server provides the following MCP tools:

Environment Configuration

Set the following environment variables to use the server:

MCP Client Configuration

Add the following path to mcp.config.js in your project:

module.exports = {
  servers: [
    {
      name: 'YouTube Data Server',
      path: './dist/server/youtube-data-server.mjs'
    }
  ],
  // Other configurations...
}

YouTube API Setup

1. Visit Google Cloud Console.
2. Create a new project or select an existing one.
3. Enable the YouTube Data API v3.
4. Create a key and set the environment variable YOUTUBE_API_KEY.

Development

npm install # Install dependencies
npm run dev # Start the development server

Network Configuration

System Requirements

• Node.js 16.0 or higher
• npm 7.0 or higher

Security Considerations

• Ensure that the YOUTUBE_API_KEY is not publicly exposed.
• Deploy using HTTPS in a production environment.
• Regularly update the API key and monitor for abnormal activities.

📄 License

This project is licensed under the MIT License.