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audio-mcp

audio-mcp

by mshark1
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Python
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    Deploy Server
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    TDQS

    A4/5.0

    Scored across 14 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes: metadata, visualization, speech transcription, processing, batch processing, synthesis, comparison, and QA. However, audio_timeline, audio_analyze, and audio_events overlap in time-varying analysis, and audio_batch_survey vs audio_check_game_project both audit folders. Descriptions clarify boundaries well, so only minor ambiguity remains.

    Naming Consistency5/5

    All 14 tools follow a consistent snake_case convention with an audio_ prefix and clear noun/verb descriptors. There is no mixing of camelCase, casing, or prefix styles. The pattern is predictable throughout.

    Tool Count5/5

    14 tools are well-scoped for a broad audio analysis, processing, synthesis, and QA server. The set covers distinct workflows without excessive redundancy. Each tool appears to earn its place.

    Completeness4/5

    The surface covers inspection, analysis, processing, batch operations, synthesis, transcription, comparison, and delivery/game-project QA, forming a strong lifecycle. Minor gaps remain, such as exporting to compressed formats (MP3/OGG/FLAC) and editing metadata tags. Core workflows are still well covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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