F
licenseNot graded
qualityD
maintenanceEnables LLMs to interact with YouTube videos by fetching transcripts, summarizing content, and answering questions based on video context.
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YouTube Transcript MCP Server
by tanush-yadav
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AlicenseAqualityBmaintenanceEnables AI agents to retrieve YouTube transcripts from individual videos, channels, and search results, supporting multiple output formats such as plain text, SRT, and VTT.319 npmMIT- AlicenseAqualityDmaintenanceEnables AI assistants to fetch YouTube video transcripts with precise timestamps, multi-language support, and time-range filtering.31MIT
- 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.264 npm15MIT
- AlicenseBqualityCmaintenanceEnables extraction of transcripts, keyword-based video search with metadata retrieval, and channel information discovery from YouTube videos through natural language interaction.34MIT
- FlicenseNot gradedqualityCmaintenanceProvides tools to extract YouTube video transcripts, list available caption languages, and retrieve video metadata such as title, channel, duration, views, and publish date.-
TDQS
A3.5/5.0
Scored across 3 tools
Disambiguation3/5
The tools are mostly distinct: one returns raw transcript, another adds metadata, and the third saves to a file. However, get_transcript and get_transcript_with_metadata overlap heavily since the latter is a superset, which could cause an agent to pick the wrong one for a simple transcript request.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern in snake_case: get_transcript, get_transcript_with_metadata, save_transcript. The naming clearly indicates the action and target, with no mixed conventions or vague verbs.
Tool Count5/5
Three tools is well-scoped for a server dedicated to YouTube transcript extraction. Each tool serves a clear purpose—basic retrieval, retrieval with metadata, and saving to file—without unnecessary bloat.
Completeness4/5
The core workflow of extracting and saving transcripts is covered. Minor gaps exist such as language selection, timestamped segments, or listing available transcript tracks, but these are extensions rather than fundamental missing pieces for the stated purpose.
Maintenance
ActivityInactive
ResponsivenessNo issues