# AudioLab MCP

> Loudness, true-peak and voice metering that grades a mix against real delivery specs.

- **Category:** Sound Design & SFX
- **Vendor:** AudioLaunch (official)
- **Pricing:** freemium
- **Verified:** 2026-09-23

## What it does

AudioLab is the meter most generative sound pipelines are missing: ten analysis tools over a hosted API returning integrated LUFS to EBU R128 / ITU BS.1770-4, true-peak in dBTP, loudness range, crest factor, stereo correlation, spectrum, and voice diagnostics down to speaking rate, SNR, room echo, sibilance and clipping risk. check_target grades a file against a named delivery spec — ebu-broadcast, atsc-broadcast, podcast or the streaming platforms — and returns per-metric deltas plus the ffmpeg loudnorm command that would fix it. Nothing here generates or processes audio; it tells an agent whether the mix passes before the deliverable ships, which is the step between a finished cut and a rejected master.

## Connect

- Remote endpoint: `https://audiolab.tools/mcp`
- Remote headers required: `Authorization`
- Claude Code: `claude mcp add audiolab -e AUDIOLAB_API_KEY=YOUR_KEY -- npx -y @audiolabtools/mcp-server`
- Local: `npx -y @audiolabtools/mcp-server`

**Auth:** api_key (env `AUDIOLAB_API_KEY`) — <https://audiolab.tools/account>

## Capabilities

[loudness-analysis](https://mcp.film/capabilities/loudness-analysis.md) · `true-peak` · `delivery-qc` · `voice-analysis` · `spectrum-analysis` · `speech-segmentation` · `batch-analysis`

## Sample tools

`analyze_loudness` · `check_target` · `analyze_timeseries` · `get_spectrum` · `analyze_voice` · `get_speech_segments` · `index_signal` · `analyze_profile` · `compare_loudness` · `analyze_batch`

## Field notes

Verified 23 Sep 2026: MIT, npm @audiolabtools/mcp-server at 0.4.1 published the day before, nine releases since 3 Jul 2026, and listed in the official MCP registry. Take the stdio form if your audio is on disk — a local `path` works only in the npx server; the hosted endpoint at https://audiolab.tools/mcp (401 unauthenticated, `Authorization: Bearer` rather than OAuth) accepts public URLs only. Either way it is a hosted analyser: a URL is fetched server-side, a local file is uploaded, measured and deleted, and only numbers come back, so if the audio cannot leave the building do not use it. Free tier is 1,000 calls and 2 GB a month with no card, but the seven named analyze_profile lenses (voice, master, provenance, dataset, environment, broadcast, loop) are plan-gated; free keys get `basic`. Limits that bite a feature: 50 MB per local file, loudness routes stream to roughly three hours, voice and signal routes cap near seven minutes, one file per call, and analyze_batch tops out at 20 sources while metering each as its own call. It measures and never fixes — the fix is an ffmpeg loudnorm string you run yourself, or the Auphonic entry for actual processing. Operated by AudioLaunch (KVK 54871204, EU-hosted), built by Nathan Renting; the GitHub repo is a generated mirror of an internal monorepo, so read the npm cadence rather than the star count.

## Verification

- Status: Freshly checked (checked today)
- Added: 2026-09-23
- Last verified: 2026-09-23
- Machine JSON: https://mcp.film/api/mcps/audiolab.json

## Links

- Site: https://audiolab.tools/?utm_source=mcp.film&utm_medium=referral&utm_campaign=directory&utm_content=audiolab%3Asite
- Docs: https://audiolab.tools/api?utm_source=mcp.film&utm_medium=referral&utm_campaign=directory&utm_content=audiolab%3Adocs
- Repo: https://github.com/Audio-Launch/audiolab-mcp-server

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Structured data: https://mcp.film/api/mcps/audiolab.json · Directory: https://mcp.film
Canonical: https://mcp.film/mcps/audiolab/
Hosted directory MCP: https://mcp.film/mcp