Audioport

Name: Audioport
Author: CloudCorpRecords

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer

Registry nameio.github.CloudCorpRecords/audioport

Install

Overview

Description from the maker (original English)

Audio metadata, conversion, trimming, normalization, and transcription via ffmpeg.

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: 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?

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": {
    "audioport": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/audioport",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add audioport -- npx -y @reneturcios/audioport mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "audioport": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/audioport",
        "mcp"
      ]
    }
  }
}

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": {
    "audioport": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/audioport",
        "mcp"
      ]
    }
  }
}

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account CloudCorpRecords, 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 2184 servers in this category
Published to the registry more recently than 86% of the other 2184 servers in this category
Basic checks equal to or better than 100% of the other 2184 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 Audioport 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 (0.1.0) reached the registry 5 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, Docker on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

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

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

Runs on your computer★ 16,165MITUpdated 5 months ago

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Figma MCP Server

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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.

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Install

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.

audioport

audioport does everyday audio work on local files. It reads the facts ffprobe reports about a file — its format, duration, bit rate, sample rate, and channel count — converts between the common audio formats, cuts a segment out of a file starting at a chosen second, and normalizes loudness with ffmpeg's loudnorm filter. A fifth tool transcribes, but only through a transcription engine you configure yourself; audioport bundles no engine and invents no transcripts.

All processing runs through the ffmpeg and ffprobe binaries on the machine, invoked with argument arrays (never a shell), so those binaries must be installed for the processing tools to work. When they are missing, the binary's own error is returned instead of a made-up result.

Transcription

Transcription is delegated to a local command named by the AUDIOPORT_TRANSCRIBER_COMMAND environment variable. The command is run with the audio file path as its last argument, and its stdout is the transcript. For example:

export AUDIOPORT_TRANSCRIBER_COMMAND="whisper-cli --model base"

When the variable is unset, transcribe and the transcribe_audio tool fail with an error naming AUDIOPORT_TRANSCRIBER_COMMAND. There is no API key, no hosted service, and no fallback that guesses at the words.

Install

npx @reneturcios/audioport metadata song.mp3

Or run the container image:

docker run -i ghcr.io/cloudcorprecords/audioport

The container defaults to the MCP server (see below) and bundles no ffmpeg/ffprobe; use a host install, or a derived image with ffmpeg installed, for the processing tools. Pass CLI arguments to use it as a CLI instead.

CLI

audioport metadata song.mp3

audioport convert song.wav song-out.mp3 mp3 --bitrate 192k audioport trim song.mp3 clip.mp3 5 --duration 10 audioport normalize song.wav song-normalized.wav audioport transcribe song.mp3 --language en

audioport --version

The convert command writes to the output path with its extension replaced by the target format when they differ (converting song-out.ogg to mp3 writes song-out.mp3). Supported formats: mp3, wav, ogg, flac, aac, m4a.

Each command prints its result as JSON. Exit codes: 0 on success, 1 when processing fails (including a missing transcription engine), 2 for usage errors.

MCP server

One bin serves both faces. The mcp subcommand starts a stdio MCP server:

npx -y @reneturcios/audioport mcp

MCP client configuration:

"mcpServers": { "audioport": { "command": "npx", "args": ["-y", "@reneturcios/audioport", "mcp"], "env": { "AUDIOPORT_TRANSCRIBER_COMMAND": "whisper-cli --model base" } } } }

Tools

Tool	Input	What it returns
`get_audio_metadata`	`input` (required)	Format, duration in seconds, bit rate, sample rate, and channels; fields ffprobe did not provide are null.
`convert_audio`	`input`, `output`, `format` (required), `bitrate` (optional)	The effective output path (extension follows the format), format, and bit rate.
`trim_audio`	`input`, `output`, `start` (required), `duration` (optional)	The output path, start second, and duration.
`normalize_audio`	`input`, `output` (required)	The input and output paths, after a loudnorm pass.
`transcribe_audio`	`input` (required), `language` (optional)	The transcript from the configured engine, or an error naming `AUDIOPORT_TRANSCRIBER_COMMAND` when none is configured.

Development

npm install

npm run build # tsc -> dist/ npm test # node test runner over test/*.test.ts, fake executors only npm run dev # run the CLI from source via tsx

License

MIT — see LICENSE.

Audioport

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

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 Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

audioport

Transcription

Install

CLI

MCP server

Tools

Development

License