youtube-mcp
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- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to search videos, read channels, browse playlists, fetch comments, and get transcripts from YouTube using the YouTube Data API v3 and InnerTube API for captions.2GPL 3.0
- AlicenseAqualityCmaintenanceEnables AI models to interact with YouTube content including video details, transcripts, channel information, playlists, and search functionality through the YouTube Data API.711 npm10MIT
- AlicenseAqualityAmaintenanceConnect AI assistants to YouTube: search, transcripts, metadata, and more.1976 npm6MIT
- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to search videos, retrieve transcripts and metadata, analyze channels, and access trending and engagement analytics for YouTube content.17 npm-
- AlicenseAqualityBmaintenanceEnables AI assistants to search YouTube, fetch transcripts, and get AI summaries of videos without API keys.312 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to search videos, channels, and playlists, retrieve video metadata, transcripts, and comments via the YouTube Data API v3.71MIT
TDQS
Scored across 4 tools
Each tool targets a distinct resource: transcript, video metadata, channel info, and search results. There is no overlap or ambiguity between them.
Most tools follow the get_<resource> pattern (get_transcript, get_video_info, get_channel_info), with search_videos as a minor deviation. The naming is still clear and predictable, but not perfectly uniform.
The server has 4 tools, which is well-scoped for a YouTube info retrieval MCP. Each tool serves a clear and necessary purpose without redundancy.
The coverage is solid for a read-only YouTube API: search, video info, channel info, and transcripts. Minor gaps like playlist support or comments are not core to the apparent purpose, so agents can work around them.