YouTube MCP Server Enhanced
Enables AI language models to interact with YouTube content through the YouTube Data API, including retrieving video details, transcripts, channel information, playlists, and searching videos with enhanced responses that include direct URLs.
README
YouTube MCP Server Enhanced
Enhanced fork of sfiorini/youtube-mcp with fixes and improvements.
A Model Context Protocol (MCP) server implementation for YouTube, enabling AI language models to interact with YouTube content through a standardized interface.
What's Enhanced
- All video responses include direct YouTube URLs (
urlandvideoIdfields) - Shared utilities architecture (single source of truth)
- Lazy initialization for better performance
- 90% code deduplication
- Better error handling
- Works reliably with Claude Code CLI on Windows
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
urlandvideoIdfields for easy integration
Transcript Management
- Retrieve video transcripts
- Support for multiple languages
- Get timestamped captions
- Search within transcripts
Direct Resources & Prompts
- Resources:
youtube://transcript/{videoId}: Access transcripts directly via resource URIsyoutube://info: Server information and usage documentation (Smithery discoverable)
- Prompts:
summarize-video: Automated workflow to get and summarize video contentanalyze-channel: Comprehensive analysis of a channel's content strategy
- Annotations: All tools include capability hints (read-only, idempotent) for better LLM performance
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
Local Installation (Recommended)
- Clone this repository:
git clone https://github.com/aranej/youtube-mcp-enhanced.git
cd youtube-mcp-enhanced
npm install
npm run build
- Add to your Claude Desktop or Claude Code configuration:
Claude Desktop (%APPDATA%\Claude\claude_desktop_config.json on Windows):
{
"mcpServers": {
"youtube": {
"command": "node",
"args": ["/path/to/youtube-mcp-enhanced/dist/cli.js"],
"env": {
"YOUTUBE_API_KEY": "your_youtube_api_key_here"
}
}
}
}
Claude Code CLI (~/.claude.json):
{
"mcpServers": {
"youtube": {
"command": "node",
"args": ["/path/to/youtube-mcp-enhanced/dist/cli.js"],
"env": {
"YOUTUBE_API_KEY": "your_youtube_api_key_here"
}
}
}
}
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')
YouTube API Setup
- Go to Google Cloud Console
- Create a new project or select an existing one
- Enable the YouTube Data API v3
- Create API credentials (API key)
- 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 dual-architecture service-based design with the following features:
- Shared Utilities: Single source of truth for all MCP server configuration (
src/server-utils.ts) - Modern McpServer: Updated from deprecated
Serverclass to the newMcpServer - Dynamic Version Management: Version automatically read from
package.json - Type-Safe Tool Registration: Uses
zodschemas for input validation - ES Modules: Full ES module support with proper
.jsextensions - Enhanced Video Responses: All video operations include
urlandvideoIdfields - Lazy Initialization: YouTube API client initialized only when needed
- Code Deduplication: Eliminated 90% code duplication through shared utilities (407 → 285 lines)
Project Structure
src/
├── server-utils.ts # 🆕 Shared MCP server utilities (single source of truth)
├── index.ts # Smithery deployment entry point
├── server.ts # CLI deployment entry point
├── 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
└── cli.ts # CLI wrapper for standalone execution
Key Features
- Smithery Optimized: Achieved 90%+ Smithery quality score with comprehensive resources, prompts, and configuration
- Shared Utilities Architecture: Eliminated 90% code duplication with single source of truth
- Enhanced Video Responses: All video objects include direct YouTube URLs
- Flexible Configuration: Optional config via Smithery UI or environment variables
- Type-Safe Development: Full TypeScript support with
zodvalidation - Modern MCP Tools: Uses
registerToolinstead of manual request handlers - Comprehensive Resources: Discoverable resources and prompts for better LLM integration
- 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
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。