A
licenseB
qualityD
maintenanceDownloads YouTube audio and transcribes it locally using faster-whisper, saving transcripts as Markdown and JSON files for Obsidian and Hermes ingestion.
4
Apache 2.0
yt-subtitle-mcp
by aisahpA
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- 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
- AlicenseAqualityCmaintenanceEnables transcription of YouTube videos by using available captions or falling back to actual audio with local Whisper ASR and multiple free providers. It supports job status, transcript retrieval and search, audio excerpts, and export formats while keeping source links and timestamps.10MIT
- AlicenseAqualityCmaintenanceEnables MCP clients and agents to fetch YouTube transcripts and caption lists from video IDs or links, preferring manual/auto captions by ordered language preference and falling back to local Faster-Whisper audio transcription when captions are unavailable. Results include source, language, full text and timestamped segments, with CLI exports to JSON, text, SRT and WebVTT, all without paid APIs or API keys.3MIT
- AlicenseNot gradedqualityDmaintenanceTranscribes YouTube videos or audio files to Markdown, plain-text, and Word documents.MIT
- AlicenseAqualityAmaintenanceEnables transcription of videos and audio from 1000+ platforms (YouTube, Bilibili, TikTok, etc.) using subtitle extraction first, then local Whisper transcription, with support for long videos, async tasks, and Chinese ASR optimization.43MIT
TDQS
A4.6/5.0
Scored across 1 tool
Disambiguation5/5
Only one tool exists, so there is no possibility of confusing it with another tool. Its purpose is clearly defined in the description.
Naming Consistency5/5
The single tool name follows a clear and conventional verb_noun pattern (get_video_transcript), and there are no other names to cause inconsistency.
Tool Count3/5
With just one tool, the surface feels minimal but acceptable for a focused transcript-extraction service. Additional tools for cache management or language listing could be added, but the single tool covers the core request.
Completeness5/5
The tool covers the full workflow from retrieving subtitles to generating Markdown, including model selection and caching. There are no obvious missing operations within its stated purpose.
Maintenance
ActivitySlowing
ResponsivenessNo issues