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Audiolab

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Loudness (EBU R128 / BS.1770-4), true-peak and voice-quality analysis for local files and URLs.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "audiolab": {
      "command": "npx",
      "args": [
        "-y",
        "audiolab"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

@audiolabtools/mcp-server

MCP (Model Context Protocol) server that gives any MCP-capable AI β€” Claude Desktop, Claude Code, Cursor, and others β€” nine 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 analyse a public URL or a local file on your machine.

Install

Point your MCP client at the package via npx (nothing to install globally):

config.json
{
  "mcpServers": {
    "audiolab": {
      "command": "npx",
      "args": ["-y", "@audiolabtools/mcp-server"],
      "env": { "AUDIOLAB_API_KEY": "al_live_yourkey" }
    }
  }
}

Get a key: sign in at https://audiolab.tools/account and generate one (free tier available).

Requirements

  • Node β‰₯ 18 β€” uses the built-in global fetch + AbortSignal.timeout.
  • An AUDIOLAB_API_KEY. No ffmpeg, no native dependencies.

Tools

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

  • { url: "https://…" } β€” a public https URL the API fetches server-side.
  • { path: "./mix.wav" } β€” a file on the machine running this server. Files up to 4 MB are sent inline; larger files (up to 50 MB) upload over a one-shot signed URL, are analysed, and are then deleted. (Local path works only in this stdio server, not the remote /mcp endpoint.)
ToolReturns
analyze_loudnessIntegrated LUFS (EBU R128 / BS.1770-4), true-peak (dBTP), LRA, crest factor, stereo correlation, mono compatibility, tonal balance
check_targetPass/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_timeseriesShort-term LUFS over time + downsampled waveform peaks (waveformPoints?)
get_spectrumFFT magnitude data + 7-band energies + dominant band
analyze_voiceVoice QA: speech/silence ratio, speaking rate, SNR, noise floor, room echo, sibilance & clipping risk
get_speech_segmentsVoiced regions with start/end + per-segment RMS (auto-trim, chapters)
index_signalContent-type guess, tags, clipping/silence regions, brightness & dynamics buckets
compare_loudnessA/B on two sources (urlA/pathA + urlB/pathB), returns both results
analyze_batchOne 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:

  • β€œAnalyze the loudness of https://example.com/track.wav” β†’ analyze_loudness with url
  • β€œRun loudness on ./master.wav” β†’ analyze_loudness with path
  • β€œDoes ./mix.mp3 pass Spotify?” β†’ check_target with path + target:"spotify"

Configuration (env)

VarDefaultPurpose
AUDIOLAB_API_KEYβ€” (required)Your API key.
AUDIOLAB_API_BASEhttps://audiolab.tools/v1Override the API base (must be https://).
AUDIOLAB_TIMEOUT_MS330000Per-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 β€” a url is fetched server-side, and a local path is sent to the API (small files inline; larger files via a private one-shot signed upload that is deleted right after analysis). The API returns numbers only and does not retain your audio (see https://audiolab.tools/privacy). This package has no telemetry and writes nothing to disk. If audio must never leave the machine, don't use a hosted analyser.

Limits

  • Local files: up to 50 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 β€” 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.

Smoke test

sh
node hosted-server.mjs --selftest   # verifies the 9 tools + guards; no network

License

MIT Β© Nathan Renting

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Audiolab

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "audiolab": { "command": "npx", "args": ["-y", "audiolab"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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