Sponsored by Deepsite.site

Youtube

Created By
ZubeidHendricksa year ago
Content

YouTube MCP Server

smithery badge

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 MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @ZubeidHendricks/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.# YouTube MCP Server

A YouTube API integration using the Model Context Protocol.

Setup

  1. Clone the repository
  2. Install dependencies:
    npm install
    
  3. Copy .env.example to .env:
    cp .env.example .env
    
  4. Edit .env and add your YouTube API key
  5. Start the server:
    npm start
    

Environment Variables

  • YOUTUBE_API_KEY: Your YouTube Data API v3 key (get it from Google Cloud Console)

Development

  1. To run in development mode with auto-reload:
    npm run dev
    
  2. To build:
    npm run build
    

Security Note

Always keep your API keys secure and never commit them to version control.

Server Config

{
  "mcpServers": {
    "youtube": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-youtube"
      ],
      "env": {
        "YOUTUBE_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}
Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
CursorThe AI Code Editor
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
ChatWiseThe second fastest AI chatbot™
Serper MCP ServerA Serper MCP Server
Playwright McpPlaywright MCP server
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
WindsurfThe new purpose-built IDE to harness magic
Tavily Mcp
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
Amap Maps高德地图官方 MCP Server
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
RedisA Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
Y GuiA web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.
DeepChatYour AI Partner on Desktop
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。