Audio Sonic MCP server
io.github.ripunjay-kashyap/audio-sonic-mcp·v1.2.0·4 starsLocal-first audio analysis: BPM, musical key, production profile, and CLAP vibe embeddings.
4 stars
Reviews
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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 v0.1.10 · 2026-10-31 · same rubric, same numbers if you re-run it
- –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 70 days ago12/15
- Maintainer identityregistry namespace matches repository owner6/10
How Audio Sonic MCP compares
Against every graded Media MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 75/100
- higher than 45% of 1,336 Media servers
- GitHub stars
- 4
- more than 81% of 716 Media servers
Install Audio Sonic MCP in Claude Code, Cursor or VS Code
claude mcp add audio-sonic-mcp -- docker run -i --rm ghcr.io/ripunjay-kashyap/audio-sonic-mcp:1.2.0
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.
Audio Sonic MCP: common questions
- Is Audio Sonic MCP server safe?
- Mostly: it is graded B (75/100). Read the Audio Sonic MCP safety report
- How do I install Audio Sonic MCP?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop 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 75 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: Audio MCP server, Aetherwave MCP server and FunASR MCP server.
- How does Audio Sonic MCP compare with other Media MCP servers?
- safety score 75/100 (higher than 45% of 1,336 Media servers); github stars 4 (more than 81% of 716 Media servers). Full comparison.
Alternatives to Audio Sonic MCP
Same job from other publishers: the closest match first, then the best rated.
- AudioEdit, analyze and convert audio: loudness, spec checks, denoise, EQ, cuts, BPM, key. No ffmpeg.not reviewedEstablishedA
- AetherwaveMusic, image, video and audio generation across top AI providers - one key, one credit pool.not reviewedGrowingB
- FunASRTranscribe local audio with FunASR and SenseVoice using private, on-device inference.not reviewedEstablishedA
- FFmpegTrim, convert, resize, compress, and remix audio and video.not reviewedEstablishedA
Transloadit Media ProcessingProcess video, audio, images and documents with Transloadit Robots. Connect by URL with OAuth.not reviewedEstablishedA