YouTube MCP Server

YouTube MCP Server

Enables AI models to interact with YouTube content including video details, transcripts, channel information, playlists, and search functionality through the YouTube Data API.

Category
访问服务器

README

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.) with direct URLs
  • List channel videos with direct URLs
  • Get video statistics (views, likes, comments)
  • Search videos across YouTube with direct URLs
  • NEW: Enhanced video responses include url and videoId fields for easy integration

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

Quick Setup for Claude Desktop

  1. Install the package:
npm install -g @sfiorini/youtube-mcp
  1. Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%\Claude\claude_desktop_config.json on Windows):
{
  "mcpServers": {
    "youtube-mcp": {
      "command": "youtube-mcp",
      "env": {
        "YOUTUBE_API_KEY": "your_youtube_api_key_here"
      }
    }
  }
}

Alternative: Using NPX (No Installation Required)

Add this to your Claude Desktop configuration:

{
  "mcpServers": {
    "youtube": {
      "command": "npx",
      "args": ["-y", "@sfiorini/youtube-mcp"],
      "env": {
        "YOUTUBE_API_KEY": "your_youtube_api_key_here"
      }
    }
  }
}

Installing via Smithery

To install YouTube MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli@latest install @sfiorini/youtube-mcp --client claude

Configuration

Set the following environment variables:

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

Using with VS Code

For one-click installation, click one of the install buttons below:

Install with NPX in VS Code Install with NPX in VS Code Insiders

Manual Installation

If you prefer manual installation, first check the install buttons at the top of this section. Otherwise, follow these steps:

Add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing Ctrl + Shift + P and typing Preferences: Open User Settings (JSON).

{
  "mcp": {
    "inputs": [
      {
        "type": "promptString",
        "id": "apiKey",
        "description": "YouTube API Key",
        "password": true
      }
    ],
    "servers": {
      "youtube": {
        "command": "npx",
        "args": ["-y", "@sfiorini/youtube-mcp"],
        "env": {
          "YOUTUBE_API_KEY": "${input:apiKey}"
        }
      }
    }
  }
}

Optionally, you can add it to a file called .vscode/mcp.json in your workspace:

{
  "inputs": [
    {
      "type": "promptString",
      "id": "apiKey",
      "description": "YouTube API Key",
      "password": true
    }
  ],
  "servers": {
    "youtube": {
      "command": "npx",
      "args": ["-y", "@sfiorini/youtube-mcp"],
      "env": {
        "YOUTUBE_API_KEY": "${input:apiKey}"
      }
    }
  }
}

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 (now includes URL)
const video = await youtube.videos.getVideo({
  videoId: "dQw4w9WgXcQ"
});

// Enhanced response now includes:
// - video.url: "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
// - video.videoId: "dQw4w9WgXcQ"
// - All original YouTube API data

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

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

// Each search result includes:
// - result.url: "https://www.youtube.com/watch?v={videoId}"
// - result.videoId: "{videoId}"
// - All original YouTube search data

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"
});

Enhanced Response Structure

Video Objects with URLs

All video-related responses now include enhanced fields for easier integration:

interface EnhancedVideoResponse {
  // Original YouTube API fields
  kind?: string;
  etag?: string;
  id?: string | YouTubeSearchResultId;
  snippet?: YouTubeSnippet;
  contentDetails?: any;
  statistics?: any;

  // NEW: Enhanced fields
  url: string;           // Direct YouTube video URL
  videoId: string;       // Extracted video ID
}

Example Enhanced Response

{
  "kind": "youtube#video",
  "id": "dQw4w9WgXcQ",
  "snippet": {
    "title": "Never Gonna Give You Up",
    "channelTitle": "Rick Astley",
    "description": "Official video for \"Never Gonna Give You Up\""
  },
  "statistics": {
    "viewCount": "1.5B",
    "likeCount": "15M"
  },
  // Enhanced fields:
  "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
  "videoId": "dQw4w9WgXcQ"
}

Benefits

  • Easy URL Access: No need to manually construct URLs
  • Consistent Structure: Both search and individual video responses include URLs
  • Backward Compatible: All existing YouTube API data is preserved
  • Type Safe: Full TypeScript support available

Development

# Install dependencies
npm install

# Build TypeScript to JavaScript
npm run build

# Development mode with auto-rebuild and hot reload
npm run dev

# Start the server (requires YOUTUBE_API_KEY)
npm start

# Publish to npm (runs build first)
npm run prepublishOnly

Architecture

This project uses a modern MCP SDK architecture with the following features:

  • Modern McpServer: Updated from deprecated Server class to the new McpServer
  • Dynamic Version Management: Version automatically read from package.json
  • Type-Safe Tool Registration: Uses zod schemas for input validation
  • ES Modules: Full ES module support with proper .js extensions
  • Enhanced Video Responses: All video operations include url and videoId fields
  • Lazy Initialization: YouTube API client initialized only when needed

Project Structure

src/
├── server.ts              # MCP server setup and tool registration
├── services/              # Core business logic
│   ├── video.ts          # Video operations (search, getVideo)
│   ├── transcript.ts     # Transcript retrieval
│   ├── playlist.ts       # Playlist operations
│   └── channel.ts        # Channel operations
├── types.ts              # TypeScript interfaces
└── index.ts              # Entry point with environment validation

Key Features

  • Enhanced Video Responses: All video objects include direct YouTube URLs
  • Type-Safe Development: Full TypeScript support with zod validation
  • Modern MCP Tools: Uses registerTool instead of manual request handlers
  • Environment Validation: Validates required API keys at startup
  • Error Handling: Comprehensive error handling with descriptive messages

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.

推荐服务器

Baidu Map

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。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选