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Audio Sonic MCP server

by ripunjay-kashyap·io.github.ripunjay-kashyap/audio-sonic-mcp·v1.2.0

Local-first audio analysis: BPM, musical key, production profile, and CLAP vibe embeddings.

B83/100grade B
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B83/100

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If you have run it, two minutes of your experience saves the next person an afternoon.

Audio Sonic MCP tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.9 · 2026-09-21 · same rubric, same numbers if you re-run it

no findings
  • Code scanpackage could not be scannedn/a
  • Live reliabilityno gateway calls yet and no remote to proben/a
  • Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 30 days ago15/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 83/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

What the publisher says

From the Audio Sonic MCP repository's README, as published. We do not edit it. Read it on GitHub

🎵 Audio Sonic MCP

Turn any song into a structured "sonic signature" — extracting tempo, musical key, a 512-dimension CLAP vibe embedding, human-readable vibe tags, and a production profile — from a single local call.

Audio Sonic MCP runs entirely on your local machine (requiring no API keys, external servers, or cloud dependencies) and exposes two premium access points to the same underlying high-fidelity audio analysis engine:

🎹 Quick Taste: What You Get

1. Musician-Friendly CLI Summary (--summary mode)

🎵 SONIC SIGNATURE — my_demo.mp3  (3:24)

  TEMPO    153.8 BPM  (steady)
  KEY      G Major  ·  shifts to G Phrygian @0:30   (confidence 74%)
  VIBE     aggressive · dark · driving · hip-hop · gritty

  PRODUCTION
     Vocals     forward
     Punch      0.62  (moderate)
     Stereo     wide
     Low end    ~55 Hz dominant

  Overall confidence: 88%   ·   analyzed in 0:28 (GPU-accelerated)

2. Comprehensive JSON (Returned by MCP and CLI by default)

{
  "header": {
    "job_id": "sig_a3f9b2c1",
    "status": "success",
    "confidence_score": 0.88,
    "source_metadata": {
      "title": "Acoustic Vibe Demo",
      "duration_sec": 204,
      "source_type": "file"
    }
  },
  "sonic_signature": {
    "bpm": 153.8,
    "bpm_engine": "madmom",
    "bpm_variable": false,
    "key": "G Major",
    "key_variable": true,
    "key_map": [
      { "start_sec": 0.0,  "end_sec": 30.0, "key": "G Major" },
      { "start_sec": 30.0, "end_sec": 90.0, "key": "G Phrygian" }
    ],
    "mode_confidence": 0.74,
    "vibe_vector": [0.012, -0.034, "... 512 float dimensions ..."],
    "vibe_tags": ["aggressive", "dark", "driving", "hip-hop", "gritty"],
    "production_profile": {
      "vocal_presence": "forward",
      "transient_punch": 0.62,
      "stereo_width": "wide",
      "dominant_freq_peaks_hz": {
        "harmonic": [55.0, 110.2],
        "percussive": [125.0, 250.1]
      }
    }
  },
  "telemetry": {
    "inference_time_sec": 28.0
  }
}

⚡ Key Features

  • 🥁 Tempo & Beat Tracking — Full BPM computation with variable-tempo drift detection and transient windowing.
  • 🎹 Key & Harmonic Mapping — Computes structural musical key + mode, generating a detailed key_map tracking section-by-section modulations.
  • 🌈 Vibe & Style Embeddings — Compiles a 512-dimensional CLAP embedding and human-readable style tags (covering energy, texture, mood, and genre) using zero-shot music vocab classification.
  • 🎚️ Production Analytics — Measures vocal spatial presence, transient punch coefficients, stereo width, and dominant frequency peaks.
  • 🤖 MCP-Native System — Fully exposes 4 standardized Model Context Protocol tools for instant integration into AI tools.
  • 🪶 Robust Graceful Degradation — Automatically utilizes a CUDA GPU if present and falls back to CPU; gracefully degrades to HPSS and standard librosa feature arrays if heavy deep learning packages ([clap]) are omitted.
  • 🔒 100% Offline & Private — All conversion, separation, and inference occur locally.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Install directly

claude mcp add audio-sonic-mcp -- docker run -i --rm ghcr.io/ripunjay-kashyap/audio-sonic-mcp:1.2.0
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Audio Sonic MCP: common questions

Is Audio Sonic MCP server safe?
Mostly: it is graded B (83/100). Read the Audio Sonic MCP safety report
How do I install Audio Sonic MCP?
It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
Does Audio Sonic MCP need an API key?
No secret keys are declared. It reads 2 settings from the environment.
Is Audio Sonic MCP maintained?
The last commit was 30 days ago (2026-08-22). The latest release is v1.2.0.
What can I use instead of Audio Sonic MCP?
Servers from other publishers that do the same job: NotebookLM MCP server, KiCad MCP Pro MCP server and Rendobar MCP server. Compare all Audio Sonic MCP alternatives.

Alternatives to Audio Sonic MCP

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