YouTube Transcript MCP
Related Servers
Alternatives to YouTube Transcript MCP
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceFetches and cleans YouTube video transcripts using yt-dlp, with fallback from manual to auto-generated subtitles and deduplication.1MIT
- AlicenseNot gradedqualityDmaintenanceEnables fetching transcripts from YouTube videos by searching for videos based on text queries and retrieving either official transcripts or generating them using AI-powered transcription with Whisper when official transcripts are unavailable.9MIT
- AlicenseAqualityBmaintenanceEnables fetching YouTube video transcripts from any URL without API keys, browser, or OAuth, with honest error reporting for missing transcripts and support for multiple languages, formats, and resilient provider fallbacks.480 npmApache 2.0
- 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
- 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.2116 npm15MIT
- AlicenseCqualityDmaintenanceTranscribe YouTube videos for LLM chat applications. Supports fetching transcripts in multiple languages and includes an ad-removal instruction.120 PyPI8MIT
TDQS
Scored across 4 tools
youtube_transcript and youtube_transcripts are potentially confusing due to their similar names, but their descriptions clearly distinguish single from batch operations. youtube_search and youtube_transcript_doctor are unambiguous.
All tool names use snake_case and share the youtube_ prefix, creating a consistent and predictable pattern. The use of singular vs plural is a clear convention for single vs batch operations.
With only 4 tools, the server is well-scoped and each tool serves a distinct purpose: single transcript, batch transcript, search, and diagnostics. The count feels appropriate for a focused transcript service.
The tool set covers the core workflow completely: search for videos, retrieve a single transcript, retrieve multiple transcripts, and check server capabilities. No obvious gaps exist for a transcript-focused server.