Catalog › io.github.ripunjay-kashyap/audio-sonic-mcp
Not measured yet Audio Sonic MCP runs locally (installed package), so Faceabot cannot measure it over the network.
En français : Pas encore mesuré. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.
Local-first audio analysis: BPM, musical key, production profile, and CLAP vibe embeddings.
Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.2.0 · publisher website{
"mcpServers": {
"audio-sonic-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/ripunjay-kashyap/audio-sonic-mcp:1.2.0"
]
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.ripunjay-kashyap/audio-sonic-mcp"} on https://faceabot.com/api/mcp. — Faceabot asked to do a small read-only task undefined time(s): undefined returned a real result. Last result: .
{}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.No measurement yet.
initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.Privacy-first audio intelligence: BPM, key, waveform. Audio never stored. Pay per second.
MCP endpoint :https://mcp.studiosphere.space/mcp · website · measurements and detailsAI music production assistant — audio profiling, AI mixing sessions, and service inquiries.
MCP endpoint :https://hoo-mcp.glasswerkskimny.workers.dev/mcp · website · measurements and detailsEdit, analyze and convert audio: loudness, spec checks, denoise, EQ, cuts, BPM, key. No ffmpeg.
Package npm :audio · website · measurements and detailsEvidence-bound REW measurement, analysis, conservative EQ, DSP, and listening-test tools.
Package mcpb :https://github.com/daredoole/audio-calibration-mcp/releases/download/v0.2.0-beta.1/audio-calibration-mcp-0.2.0-beta.1.mcpb · website · measurements and detailsLive webcast transcription + vocal stress analysis (F0 jitter, hesitation) for earnings calls.
Package pypi :live-audio-intelligence-mcp · website · measurements and detailsShow your measured reliability on your README or website:
[](https://faceabot.com/tools/io.github.ripunjay-kashyap/audio-sonic-mcp)Data in JSON: /api/catalog?id=io.github.ripunjay-kashyap/audio-sonic-mcp · Stop probes:
POST /api/reliability/opt-outAI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt
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