youtube-mcp
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- AlicenseAqualityAmaintenanceA comprehensive MCP server integrating YouTube Data, Analytics, and Reporting APIs, providing 40 tools for channel management, analytics, video publishing, transcripts, SEO, and comments.4021MIT
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- AlicenseNot gradedqualityCmaintenanceProvides 22 read/write tools to search and retrieve YouTube videos, channels, playlists, comments, trending, and related content, and works with any MCP client.MIT
- AlicenseAqualityBmaintenanceAn MCP server for intelligent YouTube video analysis that provides token-optimized summaries, sentiment analysis, and entity extraction from transcripts. It enables AI assistants to perform video reporting, channel monitoring, and comprehensive YouTube searches through structured data tools.1052Apache 2.0
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TDQS
Scored across 25 tools
Most tools have distinct purposes targeting specific YouTube resources (videos, playlists, comments, analytics, etc.), with clear boundaries. However, some potential overlap exists between 'list_channel_videos' and 'search_videos' when searching within a channel, though descriptions help differentiate them. Overall, ambiguity is minimal.
Tool names follow a highly consistent verb_noun pattern throughout (e.g., add_comment, create_playlist, delete_video, get_video_details, list_playlists, update_playlist, upload_video). All tools use snake_case with clear action-object naming, making them predictable and readable.
With 25 tools, the count feels heavy for a YouTube API server, though not extreme. It covers many YouTube features comprehensively, but some tools might be niche (e.g., list_categories, get_captions), making the set borderline for typical agent use. It's reasonable but could be streamlined.
The tool set provides excellent coverage of the YouTube domain, including CRUD operations for videos, playlists, comments, and subscriptions, plus analytics, search, and upload capabilities. There are no obvious gaps; agents can perform full lifecycles for core resources without dead ends.