ytranscript-mcp
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- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to extract and retrieve transcripts from YouTube videos in multiple languages, supporting various URL formats with zero local installation.42 npmMIT
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- AlicenseNot gradedqualityCmaintenanceEnables AI models to extract transcripts from YouTube videos in multiple languages with zero local setup. It supports all YouTube URL formats and features smart caching via Cloudflare Workers for fast responses.42 npm1MIT
- FlicenseNot gradedqualityNot gradedmaintenanceEnables AI assistants to fetch and process YouTube video transcripts in multiple formats and languages, with built-in caching and rate limiting for efficient video content analysis.-
- FlicenseAqualityCmaintenanceProvides YouTube video transcripts (text and metadata) as MCP tools for AI hosts like Claude Code, enabling summarization, search, and Q&A without watching the video.2-
- 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
TDQS
Scored across 1 tool
With only one tool, there is no possibility of overlap or confusion. The tool's purpose is clear and singular.
The single tool name follows a clear verb_noun pattern (get_transcript), consistent with common MCP conventions. No inconsistency can exist with one tool.
One tool is borderline thin for an MCP server, but for a narrowly scoped YouTube transcript service it is not unreasonable. It would benefit from additional tools like listing available languages or transcript metadata.
The tool covers the primary use case well: accepts various URL formats, detects language, falls back to AI speech-to-text, and supports timestamped output. Minor gaps exist such as no explicit language selection or list of available transcripts, but these are not critical for the core purpose.