Icraft2170 Youtube Data MCP Server

🚀 YouTube MCP Server

A Model Context Protocol (MCP) server implemented based on the YouTube Data API. It allows AI language models to interact with YouTube content through a unified interface.

🚀 Quick Start

This server is a Model Context Protocol (MCP) server implemented based on the YouTube Data API, enabling AI language models to interact with YouTube content via a unified interface.

✨ 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.

Subtitle Management

• Obtain multi - language supported video subtitles.
• Specify language preferences for subtitles.
• Get timestamped subtitles for precise content referencing.

Channel Analysis

• View detailed channel statistics (subscribers, views, video count).
• Get high - view videos from a channel.
• Analyze channel growth and engagement metrics.

Trend Analysis

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

📦 Provided Tools

The server provides the following MCP tools:

📦 Installation

Automatic Installation via Smithery

Use Smithery for automatic installation:

# Example command

Environment Configuration

YouTube API Setup

1. Create a project:

   • Go to the Google Cloud Console and create a new project.

2. Enable the YouTube Data API v3:

   • Enable the YouTube Data API v3 in the APIs & Services section.

3. Get an API key:

   • Navigate to Credentials and create a new API key (JSON).

4. Configure environment variables:

   export YOUTUBE_API_KEY="your_API_key"
   

MCP Client Configuration

Add the following content to config.json:

{
  "youtube": {
    "api_key": "your_api_key_here"
  }
}

💻 Development Guide

Clone the Repository

git clone https://github.com/yourusername/youtube-mcp-server.git
cd youtube-mcp-server

Install Dependencies

npm install

Start the Server

node index.js

🔧 Network Configuration

Listening Port

Specify the port the server listens on in config.json:

{
  "server": {
    "port": 3000
  }
}

Cross - Origin Settings

Enable Cross - Origin Resource Sharing:

app.use(cors());

🛠️ System Requirements

• Node.js: v14 or higher.
• npm: v6 or higher.

⚠️ Security Precautions

• API Key Management:

  • Avoid committing API keys to version control systems.
  • Store keys using environment variables.

• Network Security:

  • Configure firewalls to restrict access.
  • Serve content over HTTPS.

📄 License

This project is licensed under the MIT License.