youtube-transcript
Related Servers
Alternatives to youtube-transcript
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceEnables AI assistants to fetch YouTube video transcripts with precise timestamps, multi-language support, and time-range filtering.31MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants and MCP clients to fetch YouTube video captions with timestamps, title, channel, and available languages, and to export transcripts as text, SRT, or WebVTT. It works with watch, Shorts, youtu.be, embed links, or bare video IDs without an API key.407 npmMIT
- AlicenseBqualityDmaintenanceEnables AI assistants to analyze and summarize YouTube videos by extracting captions, subtitles, and comprehensive metadata including title, description, and duration in multiple languages.124 npm62MIT
- FlicenseAqualityCmaintenanceEnables AI assistants to fetch YouTube video metadata, chapters, and timestamped transcripts (including paginated and language-specific caption retrieval) so they can produce summaries, study notes, comparisons, and source-referenced answers. The returned transcript evidence also carries explicit coverage status, letting the assistant know when a transcript is partial or unavailable.4-
- FlicenseDqualityDmaintenanceEnables AI assistants to fetch and analyze transcripts from YouTube videos using video IDs or URLs, with support for multiple language preferences.1-
- AlicenseNot gradedqualityDmaintenanceExtracts captions, metadata, and descriptions from YouTube videos to enable AI assistants to summarize their content.7 npmMIT
TDQS
Scored across 1 tool
There is only one tool, so there is no possibility of ambiguity or misselection between tools. Its purpose (fetching a YouTube caption transcript) is unambiguous.
The single tool uses a clear, conventional snake_case verb_noun pattern (get_transcript). With only one name there is no inconsistency to speak of, and the name matches the server's stated purpose.
One tool is thin, but the server is deliberately scoped to a single capability and that tool earns its place. It falls just short of a full 5 because the surface offers no room for even closely related operations.
Core retrieval of a transcript is covered, but obvious adjacent operations are absent: listing available caption languages, selecting a language, or returning video metadata. Multi-language caption handling in particular is a notable gap that could cause agent failures.