Mmcp.market

Audio File MCP App MCP server

by counterpoint-studio·io.github.counterpoint-studio/audio-file-mcp-app·v1.1.0

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

A89/100grade A
What users say
No reviews yet
Be the first
Safety scan
A89/100

full report

Adoption
Growing

43 stars46 downloads/wk

Reviews

Write one

Nobody has reviewed Audio File MCP App yet.

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

Audio File MCP App 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 · 2026-09-26 · same rubric, same numbers if you re-run it

no findings
  • Code scan6 source files scanned25/25
  • –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 77 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 89/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

What the publisher says

From the Audio File MCP App repository's README, as published. We do not edit it. Read it on GitHub

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

(LUFS), Loudness Range (LRA), True Peak (dBTP), Sample Peak, and RMS.

  • Global loudness metrics computed to EBU R128: Integrated Loudness

(400 ms) and Short-Term (3 s) LUFS, plus sample-peak and RMS at the cursor position.

  • Instantaneous loudness metrics while playing or hovering: Momentary

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.

  • Waveform colouring by spectral centroid — each waveform slice is

Inferno colour scale; time-frequency reassignment sharpens transients and tonal partials beyond what a plain STFT shows.

  • Reassigned spectrogram with log-frequency bins (20 Hz floor) and an

playback loops over it, and the region's start/end are passed back to the model alongside the file's loudness and playhead state.

  • Looping region selection. Drag on the timeline to mark a region;

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.

  • Annotation-lane timeline. Supply timeline annotations and the widget

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 claudedesktopconfig.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

Shortened. The full README is on GitHub.

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

Install directly

Runs npx -y @counterpoint-studio/audio-file-mcp-app on your machine. Read the scan report first; the gateway never runs local packages.

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

Audio File MCP App: common questions

Is Audio File MCP App MCP server safe?
Yes, by our scan: it is graded A (89/100). Read the Audio File MCP App safety report
How do I install Audio File MCP App?
It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
Does Audio File MCP App need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Audio File MCP App maintained?
The last commit was 78 days ago (2026-07-10). The latest release is v1.1.0.
What can I use instead of Audio File MCP App?
Servers from other publishers that do the same job: anymd MCP server, FunASR MCP server and NotebookLM MCP server. Compare all Audio File MCP App alternatives.

Alternatives to Audio File MCP App

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

All Audio File MCP App alternatives →
  • anymd
    Any file → clean Markdown for AI agents: PDF, Office, EPUB, HTML, images, audio/video. Local MCP.
    A
  • FunASR
    Transcribe local audio with FunASR and SenseVoice using private, on-device inference.
    A
  • NotebookLM MCP
    Automate Google NotebookLM — Q&A with citations, audio, video, content generation
    C
  • three.ws Audio
    Text-to-speech, speech-to-text, audio-to-face lipsync, and motion-capture clips for 3D agents.
    B
  • Bilibili MCP Server
    Bilibili MCP tool for video metadata, transcripts, subtitles, and comment summarization
    A

More from counterpoint-studio →