TubePilot

TubePilot

Enables AI assistants to fetch and analyze YouTube data, including video info, transcripts, channel analysis, and comparisons, with both free and API-key extended tools.

Category
访问服务器

README

TubePilot

Your AI Co-Pilot for YouTube

TubePilot is an MCP server that lets AI assistants fetch and analyze YouTube data. Get video info, extract transcripts, analyze channels, compare videos, and more.

Installation

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "tubepilot": {
      "command": "npx",
      "args": ["-y", "tubepilot"]
    }
  }
}

Other MCP Clients

npx tubepilot

Or add to any MCP-compatible client config with the command npx and args ["-y", "tubepilot"].

No API key required for basic video info and transcripts!

What You Can Do

Video Analysis (No API Key)

Get info about any video:

"What is this video about? https://youtube.com/watch?v=dQw4w9WgXcQ"

Summarize or get an outline:

"Summarize this video for me" | "Give me an outline of this lecture"

Find specific moments:

"When do they talk about pricing?" | "Find where they mention React"

Analyze what happens at a timestamp:

"What happens at 1:05?" → Gets transcript + visual frame together for full context

Developer-focused analysis:

"Extract all code snippets and commands from this tutorial"
"What tech stack is used in this video?"

Comparison & Analytics (Requires API Key)

Compare multiple videos:

"Compare these 3 videos - which performed best and why?"
→ Side-by-side: views, likes, engagement rate, comments

Compare YouTube channels:

"Compare @mkbhd vs @LinusTechTips - subscriber counts, posting frequency, engagement"

Analyze a channel:

"Analyze @veritasium - posting patterns, avg views, top videos"

Playlist insights:

"Summarize this course playlist - total duration, topics covered, key videos"

Comment sentiment:

"What's the sentiment in the comments? Are people happy with this video?"

Tools

Free Tools (No API Key) - 27 Tools

Tool Description
health_check Check server health, API status, cache stats
get_video_info Get video title, description, channel, duration, keywords
get_transcript Extract full video transcript (requires captions enabled)
search_in_transcript Find specific words/moments by timestamp
get_video_frames Get visual frames/screenshots at regular intervals
get_frame_at_time Get a video frame at a specific timestamp
list_caption_languages List all available caption/subtitle languages
create_clip_url Generate shareable timestamped URLs
get_video_moment Power tool: Get transcript + visual frame at a timestamp together
find_moment_by_topic Find when a topic is discussed, with clickable timestamps
Developer Tools
extract_code_snippets Find CLI commands, code patterns, file paths in tutorials
get_tutorial_steps Auto-extract step-by-step instructions from tutorials
find_tech_stack Detect technologies, frameworks, libraries mentioned
convert_to_notes Convert video transcript to structured markdown notes
find_github_links Extract GitHub repos, npm packages, code resource links
Content Analysis
get_video_summary Generate key points and structured summary
answer_from_video Q&A - find relevant segments to answer questions
extract_links_mentions Find URLs, @mentions, products, books referenced
get_video_outline Auto-detect topic structure and create outline
Enhanced/Combo Tools
deep_analyze_video POWER TOOL: Complete analysis (info + transcript + chapters + frame)
video_timeline Visual timeline with frames at intervals
compare_moments Compare same timestamp across 2-5 videos
merge_transcripts Combine transcripts from multiple videos
analyze_short Specialized YouTube Shorts analysis
detect_music Detect if video is a music video, parse artist/song
get_hd_thumbnail Get high-res thumbnail URLs (up to 1280x720)
get_video_chapters_free Extract chapters from description (no API)

Extended Tools (Requires API Key) - 22 Tools

Tool Description
Search & Discovery
search_videos Search YouTube for videos, channels, playlists
get_related_videos Find similar videos
search_by_hashtag Find videos with a specific hashtag
get_trending Trending videos by region/category
get_categories List YouTube categories
Video Analysis
get_video_details Full stats: views, likes, comments, tags
get_video_chapters Extract chapter markers from description
get_video_stats_history Get current stats with performance metrics
check_live_status Check if video is live, upcoming, or regular
get_video_metadata_bulk Get metadata for up to 50 videos in one call
compare_videos Side-by-side stats comparison (2-10 videos)
Channel Analysis
get_channel_info Channel subscribers, video count, description
get_channel_videos List videos from a channel
get_shorts Get YouTube Shorts from a channel
analyze_channel Deep analytics: posting frequency, avg views, top content
compare_channels Compare stats of 2-5 channels side by side
Playlists
get_playlist Get playlist contents
export_playlist Export playlist to JSON format
get_playlist_summary Full analysis: duration, topics, key videos
Comments
get_video_comments Fetch top/recent comments
get_comment_replies Get replies to a specific comment
analyze_comments_sentiment Analyze positive/negative comment sentiment

Limitations

TubePilot is a data reader, not a downloader or uploader:

Cannot Do Can Do
❌ Download full videos/audio files ✅ Extract storyboard frames (screenshots)
❌ Upload, like, comment, subscribe ✅ Read public comments and stats
❌ Access private videos ✅ Access unlisted videos (with URL)
❌ Get transcripts without captions ✅ List available caption languages first
❌ Access creator revenue data ✅ Get public view/like/comment counts
❌ Bypass age restrictions ✅ Get thumbnails at all quality levels

Optional: Enable All Features

For search, detailed stats, and analytics, add a YouTube API key:

{
  "mcpServers": {
    "tubepilot": {
      "command": "npx",
      "args": ["-y", "tubepilot"],
      "env": {
        "YOUTUBE_API_KEY": "your_api_key"
      }
    }
  }
}

Get a free API key:

  1. Go to Google Cloud Console
  2. Create a project
  3. Enable "YouTube Data API v3"
  4. Create credentials → API Key

Development

npm install      # Install dependencies
npm run dev      # Run in development
npm run build    # Build for production
npm test         # Run tests (113 tests)
npm run format   # Format code

Documentation

Contributing

See CONTRIBUTING.md for guidelines.

License

MIT

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
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
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
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
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
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
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
mcp-server-qdrant

mcp-server-qdrant

这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。

官方
精选