yt-transcript-mcp
Related Servers
Alternatives to yt-transcript-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceEnables fetching, searching, and analyzing YouTube video transcripts in multiple languages using yt-dlp. Supports timestamp filtering, language detection, and transcript summaries with robust error handling for production use.4MIT
- AlicenseAqualityDmaintenanceExtracts clean text transcripts from YouTube videos using their subtitles and returns them as plain text.112 npmMIT
- AlicenseAqualityCmaintenanceFetches YouTube video transcripts, using free captions when available and falling back to Gemini-based transcription for missing or broken captions.47 npmMIT
- AlicenseNot gradedqualityDmaintenanceFetches YouTube subtitles via yt-dlp, cleans them into plain text, and provides tools for transcript retrieval, file management, and session-based storage with paging.MIT
- AlicenseAqualityDmaintenanceRetrieves transcripts from YouTube videos with support for multiple languages, timestamp control, and language detection. Enables video content analysis, summarization, and quote extraction without manually downloading or watching videos.272 npm15MIT
- AlicenseNot gradedqualityCmaintenanceFetches YouTube transcripts and metadata (title, channel, duration) for URLs, using subtitles or on-device Whisper STT when no subtitles are available, enabling chat-based YouTube video analysis.MIT
TDQS
Scored across 1 tool
With only a single tool, there is no potential for confusion between tools. The purpose of get_youtube_transcript is clearly defined and specific to fetching YouTube transcripts.
The tool name follows the standard verb_noun pattern (get_youtube_transcript), which is consistent and descriptive. Even though there is only one tool, the naming convention is appropriate.
The server's scope is narrowly defined as retrieving YouTube transcripts, and a single tool covers this purpose effectively. While the count is below the typical 3-15 range, it is not excessive or insufficient for such a focused domain.
The tool fully addresses the domain of fetching and cleaning YouTube transcripts, including fallback from manual to auto-generated subtitles. There are no obvious missing operations for a transcript-fetching service.