A
licenseNot graded
qualityD
maintenanceEnables intelligent transcription of YouTube videos with automatic optimization for any video length, using local OpenAI Whisper processing and speaker diarization.
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Nass MCP
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- FlicenseBqualityNot gradedmaintenanceEnables extraction and processing of YouTube video transcripts from individual videos, channels, and playlists. Supports transcript search, batch processing, multiple output formats (JSON, text, SRT, VTT), and bulk operations across multiple videos.1134 npm-
- 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
- AlicenseAqualityDmaintenanceEnables fetching, searching, and summarizing YouTube video transcripts with multi-language support.4MIT
- AlicenseNot gradedqualityCmaintenanceEnables local transcription of audio/video files and YouTube URLs, generation of SRT/VTT subtitles, and analysis of speech pacing and audience retention risk using faster-whisper.MIT
- AlicenseNot gradedqualityDmaintenanceEnables retrieval of transcripts from YouTube videos, supporting multiple URL formats, language selection, timestamps, and ad filtering.647 npmMIT
TDQS
A3.5/5.0
Scored across 10 tools
Disambiguation4/5
Most tools are clearly separated by action and resource: start transcription vs get/search/export transcript, YouTube source vs local file, transcript access vs audio access. The main overlap is nass_start_audio_download vs nass_download_original_audio, both audio-download paths differentiated mainly by async/sync and video length, so some misselection risk remains.
Naming Consistency4/5
All tools use a consistent nass_ prefix and snake_case formatting. Most names follow verb_noun, but nass_export, nass_health, and nass_audio_excerpt are noun-only or objectless deviations, making the pattern slightly less uniform.
Tool Count5/5
Ten tools is well within the appropriate range for a transcription/audio workflow. Each tool covers a distinct stage—job start, status polling, transcript retrieval/search/export, audio inspection/download, and backend health—without excessive surface area.
Completeness4/5
The surface covers the core lifecycle: starting YouTube or local-file transcription, checking job status, reading/searching/exporting transcripts, obtaining audio excerpts/downloads, and checking backend health. Minor gaps include no explicit job cancellation or transcript/job listing and management operations, which agents may need for longer workflows.
Maintenance
ActivityMaintained
ResponsivenessNo issues