Audiolab

Name: Audiolab
Author: Audio-Launch

by Audio-Launchversion 0.5.0i★ –iRuns on your computer

Registry nametools.audiolab/audiolab

Install

Overview

Description from the maker (original English)

Loudness, true-peak and voice-quality analysis of URLs and local files via the hosted AudioLab API.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other
You need to fill in: AUDIOLAB_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: AUDIOLAB_API_KEY, AUDIOLAB_API_BASE, AUDIOLAB_TIMEOUT_MS

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "audiolab": {
      "command": "npx",
      "args": [
        "-y",
        "@audiolabtools/mcp-server"
      ],
      "env": {
        "AUDIOLAB_API_KEY": "your-value",
        "AUDIOLAB_API_BASE": "your-value",
        "AUDIOLAB_TIMEOUT_MS": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add audiolab --env AUDIOLAB_API_KEY=your-value --env AUDIOLAB_API_BASE=your-value --env AUDIOLAB_TIMEOUT_MS=your-value -- npx -y @audiolabtools/mcp-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "audiolab": {
      "command": "npx",
      "args": [
        "-y",
        "@audiolabtools/mcp-server"
      ],
      "env": {
        "AUDIOLAB_API_KEY": "your-value",
        "AUDIOLAB_API_BASE": "your-value",
        "AUDIOLAB_TIMEOUT_MS": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "audiolab": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@audiolabtools/mcp-server"
      ],
      "env": {
        "AUDIOLAB_API_KEY": "your-value",
        "AUDIOLAB_API_BASE": "your-value",
        "AUDIOLAB_TIMEOUT_MS": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

AUDIOLAB_API_KEY secret env
Optional. Without it: the keyless trial, 20 calls a month per IP, single files up to 4 MB, no batches. A free key from https://audiolab.tools/account gives 1,000 calls and 2 GB per month, no card.
AUDIOLAB_API_BASE env
Defaults to https://audiolab.tools/v1. The value must include the /v1 path segment.
AUDIOLAB_TIMEOUT_MS env
Request timeout in milliseconds.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain audiolab.tools (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32620 servers in this category
Published to the registry more recently than 79% of the other 32620 servers in this category
Basic checks equal to or better than 100% of the other 32620 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Audiolab safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: AUDIOLAB_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.5.0) reached the registry 9 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Intervals MCP

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@audiolabtools/mcp-server

MCP (Model Context Protocol) server that gives any MCP-capable AI (Claude Desktop, Claude Code, Cursor, and others) ten audio-analysis tools, backed by the hosted AudioLab API. It is a thin HTTP client: no local audio engine, no ffmpeg, nothing to compile. It can measure a public URL or a local file on your machine, but the measuring always happens on the hosted API: the file is read here and uploaded there (see Privacy).

Install

Point your MCP client at the package via npx (nothing to install globally). No account needed for a first score:

"mcpServers": { "audiolab": { "command": "npx", "args": ["-y", "@audiolabtools/mcp-server"] } } }

Without a key you are on the keyless trial: 20 calls a month and 3 a minute per IP address, for single analyses of a URL or a local file up to 4 MB. Batches and larger files need a key. A free key gives 1,000 calls and 2 GB a month, no card: sign in at https://audiolab.tools/account, generate one, and add it:

"env": { "AUDIOLAB_API_KEY": "al_live_yourkey" }

Requirements

Node ≥ 18: uses the built-in global fetch + AbortSignal.timeout.
Optionally an AUDIOLAB_API_KEY (see Install). No ffmpeg, no native dependencies.

Tools

Every tool takes one audio source: a public url or a local path:

{ url: "https://…" }: a public https URL the API fetches server-side.
{ path: "./mix.wav" }: a file on the machine running this server. Files up to 4 MB are sent inline; larger files (up to 150 MB) upload over a signed URL, are analysed, and are swept from storage within the hour. *(Local path works only in this stdio server, not the remote /mcp endpoint.)*

Tool	Returns
`analyze_loudness`	Integrated LUFS (EBU R128 / BS.1770-4), true-peak (dBTP), LRA, crest factor, stereo correlation, mono compatibility, tonal balance
`check_target`	Pass/fail vs a delivery target (`spotify` / `apple-music` / `youtube` / `tidal` / `amazon-music` / `podcast` / `ebu-broadcast` / `atsc-broadcast`, or `target:"custom"` + `lufs`+`tp`), with per-metric deltas and an ffmpeg loudnorm fix command
`analyze_timeseries`	Short-term LUFS over time + downsampled waveform peaks (`waveformPoints?`)
`get_spectrum`	FFT magnitude data + 7-band energies
`analyze_voice`	Voice QA: speech/silence ratio, speaking rate, SNR, noise floor, pause energy, sibilance & clipping risk
`get_speech_segments`	Voiced regions with start/end + per-segment RMS (auto-trim, chapters)
`index_signal`	Content-type guess, tags, clipping/silence regions, brightness & dynamics buckets
`analyze_profile`	One named question, `voice`, `master`, `provenance`, `dataset`, `environment`, `broadcast`, `loop`, `room` (reverberation from a clap, a pop, an impulse response or a sweep; pass `roomSource`), `chain` (lost packets) or `pitch` (where a voice sits and how clean it is), answered with only the lenses it needs. These ten need a paid plan; the free tier gets the `basic` profile, keyed by stable lens id. Add `series:true` for the curves, per-block lanes and per-phrase values. Carries a `note` when the profile’s voice lenses land on non-speech material. Full catalogue: https://audiolab.tools/lenses
`compare_loudness`	A/B on two sources (`urlA`/`pathA` + `urlB`/`pathB`), returns both results
`analyze_batch`	One route over up to 20 sources in a single call (`urls` and/or `paths`), per-item ok/data/error. For folder QA, library indexing, or checking a whole release against a target. Each item meters as one call

Example asks to your AI:

*“Analyze the loudness of https://example.com/track.wav”* → analyze_loudness with url
*“Is this take usable?”* → analyze_profile with profile:"voice"
*“Has this file been re-encoded, and is it all one source?”* → analyze_profile with profile:"provenance"
*“Run loudness on ./master.wav”* → analyze_loudness with path
*“Does ./mix.mp3 pass Spotify?”* → check_target with path + target:"spotify"

Configuration (env)

Var	Default	Purpose
`AUDIOLAB_API_KEY`	– (optional)	Your API key. Without it: the keyless trial (20 calls a month per IP, no batches, files up to 4 MB).
`AUDIOLAB_API_BASE`	`https://audiolab.tools/v1`	Override the API base (must be `https://`).
`AUDIOLAB_TIMEOUT_MS`	`330000`	Per-request timeout in milliseconds (long files and batches stream server-side and can legitimately take minutes).

Privacy

Analysis happens on the AudioLab API, so the audio does reach `audiolab.tools`: a url is fetched server-side, and a local path is read here and uploaded to the API (small files in the request body; larger files via a private one-shot signed upload into EU storage). The API returns numbers only and does not keep your audio: a direct request is decoded and discarded inside the request, and a signed upload is swept from storage within the hour (see https://audiolab.tools/privacy). This package has no telemetry and writes nothing to disk. There is no offline mode, and the engine is not published as an installable package. If audio must never leave the machine, don't use a hosted analyser; the in-browser labs on the website measure on-device, but they are for people, not for agents.

Limits

Local files: up to 150 MB (host bigger ones at a public URL).
Duration: loudness routes (analyze_loudness, check_target, analyze_timeseries, get_spectrum) handle long files (podcast episodes, full sets, up to ~3 h) via server-side streaming; voice/signal routes are limited to ~7 minutes.
One file per call (agents loop for many); one-shot (no streaming/realtime).
Rate and monthly limits are enforced by the API, per key (per IP address on the keyless trial).

Smoke test

node hosted-server.mjs --selftest   # verifies the 10 tools + guards; no network

Audiolab

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Intervals MCP

README from the maker

@audiolabtools/mcp-server

Install

Requirements

Tools

Configuration (env)

Privacy

Limits

Smoke test

License