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Audio File MCP App

by counterpoint-studioversion 1.1.1i★ –iRuns on your computer
Registry nameio.github.counterpoint-studio/audio-file-mcp-app

Install

Overview

Description from the maker (original English)

Inspect local audio files — playback, metadata, loudness, spectrogram.

PopNx MCP’s three pillars

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

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: Design, images & audio

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).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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": {
    "audio-file-app": {
      "command": "npx",
      "args": [
        "-y",
        "@counterpoint-studio/audio-file-mcp-app"
      ]
    }
  }
}

Run this in your terminal

claude mcp add audio-file-app -- npx -y @counterpoint-studio/audio-file-mcp-app

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "audio-file-app": {
      "command": "npx",
      "args": [
        "-y",
        "@counterpoint-studio/audio-file-mcp-app"
      ]
    }
  }
}

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": {
    "audio-file-app": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@counterpoint-studio/audio-file-mcp-app"
      ]
    }
  }
}

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.

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 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account counterpoint-studio, which owns the repo

  • … 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 Design, images & audioi

  • More stars than 0% of the other 2768 servers in this category
  • Published to the registry more recently than 48% of the other 2768 servers in this category
  • Basic checks equal to or better than 100% of the other 2768 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 Audio File MCP App 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (1.1.1) reached the registry 30 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: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Figma Context MCP

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

by GLipsWidely used↓ 161.2K/wk★ 16.2KUpdated 5 months ago

Runs on your computer

Claude Real Video

Let any LLM watch a video locally — and search everything it has ever watched.

by HUANGCHIHHUNGLeoWidely used↓ 1.1K/wk★ 2.3KUpdated 2 months ago

Runs on your computer

Figma MCP Server

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

by figmaGrowing★ 2.2KUpdated 13 months ago

Runs in the cloud✓ mcp.figma.com

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.

Audio File MCP App

An MCP App for playing and inspecting local audio files in an MCP host.

Renders an in-conversation UI with playback, metadata, loudness, a spectrogram, and an optional annotation-lane timeline.

File metadata, loudness statistics, the current playhead position, any selected region, and the annotation lanes active at the playhead are also exposed back to the model, so follow-up tasks can refer to what the user is actually hearing and looking at.

Features

  • Global loudness metrics computed to EBU R128: Integrated Loudness (LUFS), Loudness Range (LRA), True Peak (dBTP), Sample Peak, and RMS.
  • Instantaneous loudness metrics while playing or hovering: Momentary (400 ms) and Short-Term (3 s) LUFS, plus sample-peak and RMS at the cursor position.
  • Waveform colouring by spectral centroid — each waveform slice is shaded along a tonal ramp using a low/mid/high band-energy ratio, so bright/dark regions read at a glance as bright/dark sound.
  • Reassigned spectrogram with log-frequency bins (20 Hz floor) and an Inferno colour scale; time-frequency reassignment sharpens transients and tonal partials beyond what a plain STFT shows.
  • Looping region selection. Drag on the timeline to mark a region; playback loops over it, and the region's start/end are passed back to the model alongside the file's loudness and playhead state.
  • Annotation-lane timeline. Supply timeline annotations and the widget draws a stack of thin labelled lanes between the waveform and spectrogram, aligned to the audio's own timeline. Each lane carries time spans, an optional colour, and an optional envelope that fades span opacity along the lane. Hovering a span reveals its label, and the lanes active at the playhead — plus those starting, ending, or active within a selected region — are reported back to the model.

Install

The server runs locally over stdio. Every install path below configures the same command: npx -y @counterpoint-studio/audio-file-mcp-app.

Claude Desktop

Easiest: grab the latest .mcpb from the Releases page and double-click it. Claude Desktop has Node bundled, so no extra runtime is needed.

Or add the server by hand to claude_desktop_config.json:

{

"mcpServers": { "audio-file": { "command": "npx", "args": ["-y", "@counterpoint-studio/audio-file-mcp-app"] } } }

Codex Desktop
  1. Go to Settings -> MCP Servers
  2. Add Server
  3. Name: audiofile-mcp-app
  4. Command to launch: npx
  5. Arguments -y and @counterpoint-studio/audio-file-mcp-app
VS Code (Copilot, Agent mode)

Or add to .vscode/mcp.json (workspace) or your user mcp.json:

{

"servers": { "audio-file": { "type": "stdio", "command": "npx", "args": ["-y", "@counterpoint-studio/audio-file-mcp-app"] } } }

Goose

Paste this deep link into your browser (Goose Desktop must be installed; the custom URI scheme can't be a real link in a GitHub README):

goose://extension?id=audio-file&name=Audio%20File%20MCP%20App&cmd=npx&arg=-y&arg=%40counterpoint-studio%2Faudio-file-mcp-app

Or run goose configure → Add Extension → Command-line Extension and enter npx -y @counterpoint-studio/audio-file-mcp-app.

MCP Inspector
npx @modelcontextprotocol/inspector npx -y @counterpoint-studio/audio-file-mcp-app

Usage

Ask the host to show you a local audio file by its absolute path. For example:

"Show me /Users/me/Music/track.wav"

The host calls the display_audio_file tool, which renders the in-app UI with waveform, spectrogram, loudness metrics, and playback transport.

Annotation lanes

display_audio_file accepts an optional annotations object describing lanes to draw on the timeline (or an annotationsPath pointing at a JSON file with the same { "lanes": [...] } shape — handy for large payloads):

{

"annotations": { "lanes": [ { "label": "Delay tails", "color": "#e6007e", "spans": [{ "start": 8, "end": 24 }], "envelope": [ { "time": 8, "value": 0 }, { "time": 24, "value": 1 } ] } ] } }

Times are in seconds on the audio's own timeline. label, color, and envelope are optional; a lane with an envelope fades its span opacity along the envelope curve, and uncoloured lanes use a light-accent fill. Overlapping spans in a lane are truncated at the next span's start so rows never overlap. The model can author annotations to point out sections, mark events, or visualise an analysis it just ran.

Security model

  • The server runs locally over stdio, with your user account's permissions.
  • display_audio_file opens any file path it is given, by design, but only accepts files recognised as audio.
  • The player streams the file through a byte-range resource (audiofile-range://…). It returns bytes only of files recognised as audio; anything else, including a path that doesn't exist, gets the same "Not a recognised audio file" error.
  • annotationsPath reads a JSON file you name, and only uses it if it matches the annotation format.
  • Tool errors are specific on purpose, so you can see what went wrong: they can reveal whether a named path exists, is a regular file, or (for annotationsPath) is valid JSON in the annotation format. They never include the file's contents.
  • What remains: a model that can call tools can open any audio file on your machine. Hosts that ask for approval before tool calls are the control for that.

To report a vulnerability, see SECURITY.md.

Client compatibility

Tested and known to work in:

  • Claude Desktop — Chat, Cowork, and Code
  • Codex Desktop
  • Visual Studio Code
  • Goose
  • MCP Inspector

Development

pnpm install

pnpm run build:dsp # emsdk required; see WASM-BUILD.md pnpm run serve # runs the server with tsx, no compile step pnpm test

pnpm run build:dist produces the publishable layout under dist/ (dist/mcp-app.html + dist/server/).

Releasing

pnpm version <bump>          # bumps every version string (package.json, server.json,

mcpb/manifest.json, src/server/app.ts) + commits + tags

git push && git push --tags source /path/to/emsdk_env.sh # prepublishOnly rebuilds the DSP code with Emscripten pnpm publish --access public # publishes to npm gh workflow run publish-registry.yml -f tag=v # MCP Registry, once npm shows the version pnpm run build:mcpb # produces dist/audio-file-mcp-app- .mcpb gh release create v dist/*.mcpb # attaches the bundle to a GitHub release

npm can hold a new version in validating for up to an hour before it appears. The registry checks the npm package, so run the registry workflow only after npm view @counterpoint-studio/audio-file-mcp-app version shows the new version.

The MCP Registry is published from GitHub Actions (.github/workflows/publish-registry.yml) because the interactive mcp-publisher login github only grants a personal namespace, not io.github.counterpoint-studio/*.

License

ISC © Counterpoint Studio OÜ

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