MCP.Market

Audiolla MCP server

by psyb0t·io.github.psyb0t/audiolla·v1.1.7·3 stars

Self-hosted MCP server: audio stems, mastering, MIR analysis, DSP, MIDI, speech tools.

B80/100grade B
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Safety scan
B80/100

full report

Adoption
New

3 stars

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Nobody has reviewed Audiolla yet.

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

Audiolla 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 · 2026-09-24 · 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 54 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 80/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Audiolla compares

Against every graded Media MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
80/100
higher than 62% of 1,337 Media servers
GitHub stars
3
more than 78% of 715 Media servers

Install Audiolla in Claude Code, Cursor or VS Code

claude mcp add audiolla -- docker run -i --rm docker.io/psyb0t/audiolla:v1.1.7
Add to Cursor

What the publisher says

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

audiolla

Thirty audio engines. One port. Zero cloud. Fire-and-forget async jobs. Webhooks.

You needed Demucs for stems. Then librosa for BPM and key. Then basic-pitch for MIDI transcription. Then pyannote for speaker diarization. Then DeepFilterNet for speech enhancement. Then you spent three days debugging Python version conflicts and now you hate everything.

audiolla is what happens when you stop doing that.

Every audio processing tool worth using — wrapped in one HTTP API, running in one Docker container. POST a file. Get audio, JSON, or MIDI back. Drive it from curl, shell scripts, Python notebooks, Makefiles, or point an LLM agent at the MCP endpoint and let it rip.

No account. No subscription. No per-minute billing. No vendor lock-in. docker run and you're done.

What's in the box

Shortened. The full README is on GitHub.

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

Audiolla: common questions

Is Audiolla MCP server safe?
Mostly: it is graded B (80/100). Read the Audiolla safety report
How do I install Audiolla?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Audiolla need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Audiolla maintained?
The last commit was 94 days ago (2026-08-01). The latest release is v1.1.7.
What can I use instead of Audiolla?
Servers from other publishers that do the same job: three.ws Audio MCP server, apimodels MCP server and Fish MCP server.
How does Audiolla compare with other Media MCP servers?
safety score 80/100 (higher than 62% of 1,337 Media servers); github stars 3 (more than 78% of 715 Media servers). Full comparison.

Alternatives to Audiolla

Same job from other publishers: the closest match first, then the best rated.

  • three.ws Audio
    Text-to-speech, speech-to-text, audio-to-face lipsync, and motion-capture clips for 3D agents.
    B
  • apimodels
    Image, video, chat and speech models with one account — local (npx) or hosted with OAuth sign-in.
    A
  • Fish
    MCP server exposing the AceDataCloud Fish Audio API (text-to-speech with voice conditioning)
    A
  • Vidofy
    Generate video, images, audio and speech with Vidofy — Veo 3.1, Kling 3.0, Flux 2 and 570+ models.
    A
  • FunASR
    Transcribe local audio with FunASR and SenseVoice using private, on-device inference.
    A

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