A
licenseNot graded
qualityC
maintenanceEnables 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
voice-analysis-mcp
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TDQS
A3.9/5.0
Scored across 8 tools
Disambiguation5/5
Each tool targets a distinct aspect of voice analysis: metadata, transcription, conversation dynamics, prosody, quality, segment extraction, and two visualizations. Descriptions clearly differentiate their purposes, leaving no ambiguity.
Naming Consistency4/5
Most tools follow a consistent verb_noun pattern (get_audio_info, analyze_conversation, render_spectrogram), but 'transcribe' is a single verb outlier, slightly breaking the pattern. Overall, naming is mostly predictable and clear.
Tool Count5/5
With 8 tools, the server covers a well-scoped range of voice analysis capabilities—from metadata to transcription to advanced metrics and visualizations—without unnecessary redundancy or bloat.
Completeness4/5
Core workflows for audio analysis are covered (info, transcription, conversation dynamics, prosody, quality, segment extraction, visualizations). A minor gap is lack of explicit speaker diarization beyond stereo transcription, but the set is largely complete for typical analysis tasks.
Maintenance
ActivityStale
ResponsivenessNo issues