What is Zubeidhendricks Youtube Mcp Server

ZubeidHendricks_youtube-mcp-server is an implementation of a Model Context Protocol (MCP) server specifically designed for YouTube. It allows AI language models to interact with YouTube content through a standardized interface.

Use cases

Use cases include developing AI assistants that provide video summaries, creating tools for educators to access and manage video content, and building applications that analyze video statistics and transcripts.

How to use

To use ZubeidHendricks_youtube-mcp-server, you can install it via Smithery or manually using npm. After installation, configure your MCP client by adding the server details and your YouTube API key.

Key features

Key features include retrieving video details, managing transcripts, accessing channel information, and handling playlists. It supports multiple languages and allows for searching within video transcripts and channel content.

Where to use

ZubeidHendricks_youtube-mcp-server can be used in applications that require interaction with YouTube content, such as AI-driven chatbots, content analysis tools, and educational platforms.

YouTube MCP Server

A Model Context Protocol (MCP) server implementation for YouTube, enabling AI language models to interact with YouTube content through a standardized interface.

Features

Video Information

• Get video details (title, description, duration, etc.)
• List channel videos
• Get video statistics (views, likes, comments)
• Search videos across YouTube

Transcript Management

• Retrieve video transcripts
• Support for multiple languages
• Get timestamped captions
• Search within transcripts

Channel Management

• Get channel details
• List channel playlists
• Get channel statistics
• Search within channel content

Playlist Management

• List playlist items
• Get playlist details
• Search within playlists
• Get playlist video transcripts

Installation

Installing via Smithery

To install YouTube Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @modelcontextprotocol/server-youtube --client claude

Manual Installation

npm install @modelcontextprotocol/server-youtube

Configuration

Set the following environment variables:

• YOUTUBE_API_KEY: Your YouTube Data API key
• YOUTUBE_TRANSCRIPT_LANG: Default language for transcripts (optional, defaults to ‘en’)

Using with MCP Client

Add this to your MCP client configuration (e.g. Claude Desktop):

{
  "mcpServers": {
    "youtube": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-youtube"
      ],
      "env": {
        "YOUTUBE_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

YouTube API Setup

1. Go to Google Cloud Console
2. Create a new project or select an existing one
3. Enable the YouTube Data API v3
4. Create API credentials (API key)
5. Copy the API key for configuration

Examples

Managing Videos

// Get video details
const video = await youtube.videos.getVideo({
  videoId: "video-id"
});

// Get video transcript
const transcript = await youtube.transcripts.getTranscript({
  videoId: "video-id",
  language: "en"
});

// Search videos
const searchResults = await youtube.videos.searchVideos({
  query: "search term",
  maxResults: 10
});

Managing Channels

// Get channel details
const channel = await youtube.channels.getChannel({
  channelId: "channel-id"
});

// List channel videos
const videos = await youtube.channels.listVideos({
  channelId: "channel-id",
  maxResults: 50
});

Managing Playlists

// Get playlist items
const playlistItems = await youtube.playlists.getPlaylistItems({
  playlistId: "playlist-id",
  maxResults: 50
});

// Get playlist details
const playlist = await youtube.playlists.getPlaylist({
  playlistId: "playlist-id"
});

Development

# Install dependencies
npm install

# Run tests
npm test

# Build
npm run build

# Lint
npm run lint

Contributing

See CONTRIBUTING.md for information about contributing to this repository.

License

This project is licensed under the MIT License - see the LICENSE file for details.