YouTube MCP Server
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Alternatives to YouTube MCP Server
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Related Servers
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables AI assistants to access YouTube data in real-time, with capabilities for searching videos, analyzing channels, retrieving video details, and extracting transcripts.13MIT
- AlicenseNot gradedqualityFmaintenanceA Model Context Protocol server that enables searching YouTube videos, retrieving and storing transcripts, and performing semantic search over video content without using the official YouTube API.36MIT
- AlicenseAqualityAmaintenanceA Model Context Protocol (MCP) server that gives AI assistants the ability to search, analyze, and extract knowledge from YouTube videos.1341 npmMIT
- AlicenseBqualityAmaintenanceA server that enables interaction with YouTube data through the Model Context Protocol, allowing users to search videos, retrieve detailed information about videos/channels, and fetch comments.12115 npm21MIT
- AlicenseAqualityDmaintenanceA Model Context Protocol server that enables access to YouTube video content through transcripts, translations, summaries, and subtitle generation in various languages.55MIT
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables retrieval of transcripts, metadata, and subtitles from YouTube videos. It supports multiple languages, automatic paragraph segmentation, and video downloading to facilitate content analysis and processing.28 npmMIT
TDQS
Scored across 10 tools
Each tool targets a distinct resource and action: channels (find creators, get single/multiple, list videos, search), playlists (get info, get items), transcripts (get transcript), videos (get single, search). No two tools have overlapping purposes.
All tools follow a consistent 'resource_action' pattern in snake_case (e.g., channels_searchChannels, transcripts_getTranscript). No mixed conventions or vague verbs.
10 tools is well-scoped for a YouTube data server. Each tool serves a clear purpose, covering channels, playlists, videos, and transcripts without being excessive or too minimal.
Core read/search/list operations are covered for channels, playlists, videos, and transcripts. Minor gaps exist (e.g., no playlist search, no single video by ID with transcript combined), but the set is functional for common YouTube data retrieval tasks.