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voice-analysis-mcp

voice-analysis-mcp

by Patience-dot-devl
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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

    ActivitySlowing
    ResponsivenessNo recent community issues

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