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Related Servers

Alternatives to cochlea

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides audio inspection, conversion, processing, and generation capabilities via SoX, enabling AI agents to 'hear' and manipulate audio files through structured JSON interfaces.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Exposes audio processing tools (inspect, normalize, trim, fade, gain, filter, speed, reverse) as MCP tools, enabling Claude to manipulate WAV files through natural language commands.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      An MCP server that runs Stability AI's Stable Audio Open 1.0 locally on NVIDIA GPUs, enabling AI agents to generate broadcast-quality 44.1 kHz stereo WAV sound effects from text prompts fully offline with no API costs.
      Apache 2.0

    TDQS

    A4.3/5.0

    Scored across 12 tools

    Disambiguation4/5

    Each tool targets a distinct artifact or operation: score authoring/validation/rendering, MIDI conversion, full/digest/visual audio analysis, and comparison. The analysis tools do overlap in feature space, but the descriptions explicitly differentiate probe_digest, loudness_timeline, beat_grid, and spectrogram from probe_audio, so an agent can reliably pick between them.

    Naming Consistency4/5

    The majority of tools follow a clear snake_case two-word pattern (lint_score, render_score, probe_audio, import_midi, transcribe_audio), and the remaining names are still descriptive and readable. Minor deviations exist: spectrogram is a single word, and several output-oriented names like audio_diff, loudness_timeline, and beat_grid are noun phrases rather than verb_noun commands.

    Tool Count5/5

    Twelve tools is a well-scoped count for a music/audio composition and analysis server. Each tool adds a distinct capability, and there is no obvious redundancy or filler; the set feels intentionally sized for the compose-render-probe-revise workflow.

    Completeness5/5

    The server covers the full workflow: score reference, validation, rendering, multiple analysis modalities, audio diffing, MIDI import/export, and audio-to-score transcription. The loop from composing a score to hearing, inspecting, comparing, and revising it is fully closed, with no critical dead ends for the stated purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues