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PopNx MCPMCP servers for people who use AI · explained in plain words

Audionaut

by kvoltmerversion 0.5.0i★ 271iRuns on your computer
Registry nameio.github.kvoltmer/audionaut

Overview

Description from the maker (original English)

Edit Audionaut multitrack projects: cut, fade, analyse, export. Requires the Audionaut app.

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.

You need

  • npmNode.js installed (for the npx command)

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "audionaut": {
      "command": "npx",
      "args": [
        "-y",
        "audionaut-mcp"
      ],
      "env": {
        "AUDIONAUT_CLI": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add audionaut --env AUDIONAUT_CLI=your-value -- npx -y audionaut-mcp

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

{
  "mcpServers": {
    "audionaut": {
      "command": "npx",
      "args": [
        "-y",
        "audionaut-mcp"
      ],
      "env": {
        "AUDIONAUT_CLI": "your-value"
      }
    }
  }
}

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "audionaut": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "audionaut-mcp"
      ],
      "env": {
        "AUDIONAUT_CLI": "your-value"
      }
    }
  }
}

Values you fill in

  • AUDIONAUT_CLI env
    Path to the Audionaut app binary or audionaut-cli, if it is not found automatically

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

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 5, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account kvoltmer, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 2 days ago

  • ! Caution

    Has a licence

    GitHub could not identify the licence type; open the file to check

  • – 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

    Needs the server’s tool list first; this check starts in the next step

Compared with others in Design, images & audioi

  • More stars than 50% of the other 14 servers in this category
  • Published to the registry more recently than 71% of the other 14 servers in this category
  • Basic checks equal to or better than 14% of the other 14 servers in this category

Compared only with servers in this prototype, not the whole registry.

Common questions

Is Audionaut safe?

It passed 2 of 3 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 2 days ago, and the latest version (0.5.0) reached the registry 11 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:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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

Claude Real Video

by HUANGCHIHHUNGLeo

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

Runs on your computer★ 2,284MITUpdated 2 months ago

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.

Runs in the cloud★ 2,152Updated 13 months ago

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.

audionaut-mcp

An MCP server that lets AI agents (Claude Code, Claude Desktop, and any other MCP client) edit Audionaut projects: cut, move, fade, analyse, auto-edit and export. It is a thin wrapper: every tool runs one Audionaut command with --json and relays the result — no engine logic lives here.

Requires the Audionaut app (Mac App Store / GitHub Releases). On its own this package does nothing.

Quick start

You need Audionaut — 1.6.3 or later is recommended; 1.6.2 works on macOS and Linux — and Node.js 18 or later.

Claude Code:

claude mcp add audionaut -- npx -y audionaut-mcp

Claude Desktop (claude_desktop_config.json):

{

"mcpServers": { "audionaut": { "command": "npx", "args": ["-y", "audionaut-mcp"] } } }

On Windows, if Claude Desktop cannot start npx, use "command": "cmd", "args": ["/c", "npx", "-y", "audionaut-mcp"].

Then ask for something like *"split the clip in ~/Music/Audionaut/Demo Project.audium every 16 bars"*. Keep the project open in Audionaut to watch the edits arrive; each one is a single undo step.

On macOS, keep projects in your Music folder. Audionaut is sandboxed there (App Store and website download alike) and can only reach ~/Music: projects, audio to import and export targets all have to be inside it, for example in ~/Music/Audionaut. The server refuses other paths up front with sandbox_denied and a hint. Windows and Linux have no such limit.

To see which Audionaut the server found and whether it answers:

npx -y audionaut-mcp --check

The server looks for, in order: AUDIONAUT_CLI; a developer build of audionaut-cli (see the end of this page); audionaut-cli on PATH; the installed app — /Applications or ~/Applications (or wherever Spotlight finds it) on macOS, Program Files\Audionaut on Windows, audionaut from the .deb or an Audionaut*.AppImage in ~/Applications or ~/.local/bin on Linux. Anywhere else, point AUDIONAUT_CLI at the binary, e.g. your AppImage.

separate_stems needs the Demucs model, which you download once in the app (Settings ▸ Separation). The model weights are licensed for research use.

A stem split takes minutes for a full song, and exporting or analysing a long project can too. When your client sends a progressToken with the call, separate_stems, export_audio and analyze report progress (Audionaut 1.6.5 and later). A call is only stopped after ten minutes without any sign of life, not ten minutes in total.

Projects that are open in Audionaut

The tools do not need the user to save first, and they will not write over a document the user has open. When Audionaut is holding the project, the CLI hands the command to the app: it acts on the document as the user currently sees it, unsaved changes included, and the result lands in their undo history as one step instead of touching Project.json. Saving stays theirs to do.

With no app holding the project, the tools read and write the project file as they always have. If an app is holding one but cannot be reached, the command fails (host_unavailable) rather than falling back to the file, which would be missing whatever is unsaved.

Autosave.json and Host.json inside a package belong to the app — never read or edit them.

Tools

ToolWrapsPurpose
get_project_infoinfoTempo, tracks, clips, files (or the raw persistence JSON)
create_projectcreateNew empty .audium package
import_audioimportAdd audio files (creates a new track)
export_audioexportOffline render to WAV, FLAC, AIFF, Ogg Vorbis or MP3
analyzeanalyzeSegment, beat and onset analysis, cached next to the project
auto_editauto-editSegment a clip using cached analysis
assembleassembleBuild an arrangement from regions
splitsplitSplit clips at a timeline position (bars/beats/seconds/clocks)
create_regioncreate-regionCreate a named region from a timeline range
set_regionset-regionRename and/or retrim a region (affects all its clips)
remove_clipremove-clipRemove clip(s) from the timeline
move_clipmove-clipMove one clip to a new position and/or another track
place_clipplace-clipPlace an existing region on the timeline
cleanup_regionscleanup-regionsDelete every region no clip uses
clip_gainclip-gainSet a clip's gain (linear or dB, all channels or one)
clip_fadesclip-fadesSet a clip's fade lengths, offsets and curves
clip_speedclip-speedSet a clip's speed and mode (varispeed or pitch-preserving stretch), or lock it to the project tempo
remove_trackremove-trackRemove a whole track (channels, clips and regions)
remove_channelremove-channelRemove one channel from a track
track_pantrack-panPan a track's channel strips, -1 left to 1 right (all strips or one)
request_feature—Send a feature request to the maintainer (see below)
report_bug—Send a bug report to the maintainer (see below)
separate_stemsseparateSplit a clip into Drums/Bass/Other/Vocals tracks (Demucs; needs the downloaded model)

A typical agent flow: create_project → import_audio → analyze → auto_edit/assemble → export_audio. CLI errors come back as tool errors carrying the CLI's own code: message (e.g. demucs_unavailable: ... in builds without stem separation), so agents can react.

Feature requests and bug reports from agents

Agents run into the edges of what the tools expose, and into their bugs, long before a person would file an issue, so two tools give them a direct channel. request_feature takes a title, a description and (ideally) what the agent was trying to do and which tool fell short. report_bug takes the same plus steps to reproduce, the expected behaviour and the project shape; its description tells agents to quote the exact tool call and error text and never to attach audio. The server's instructions point agents at the right one whenever a task needs something the tools cannot do or a tool misbehaves, and tell them to say so to the user. A reporter name or e-mail is included only when the user offers one. Both become GitHub issues - enhancement + agent-request for features, bug + agent-report for bugs; the reply carries the issue URL and the feature-request discussion.

Transports, tried in order:

  1. Relay — the default: a deployment of Tools/feature-request-relay, a Cloudflare Worker that files the issue with its own GitHub token. This is the path for end users, who have no GitHub credentials on the agent side. AUDIONAUT_FEATURE_REQUEST_URL points at another deployment; an empty value skips the relay.
  2. GitHub CLI — when the relay is skipped and gh is installed and logged in, the issue is filed with gh issue create under the user's own account (developer machines).
  3. Nothing — otherwise the reply says sent: false and carries a prefilled new-issue URL for the user to open themselves.

AUDIONAUT_DISABLE_FEATURE_REQUESTS=1 skips the first two for both tools (test harnesses, air-gapped setups); the smoke test points the relay URL at a local stand-in.

Environment variables

VariableEffect
AUDIONAUT_CLIBinary that runs the commands: an Audionaut app or audionaut-cli
AUDIONAUT_SKIP_PATH_CHECK1 skips the ~/Music pre-check for the sandboxed macOS app
AUDIONAUT_DISABLE_ANALYTICS1 never sends usage analytics, whatever the app's consent setting
AUDIONAUT_FEATURE_REQUEST_URLIssue relay for request_feature/report_bug; empty skips it
AUDIONAUT_DISABLE_FEATURE_REQUESTS1 never files issues; replies carry a prefilled link instead

The server sets two variables for every Audionaut it runs, which the open app uses to group an agent's edits into undo steps: AUDIONAUT_AGENT_SESSION (one id per server process) and AUDIONAUT_AGENT_TASK (the editing tool's task parameter). Edits with the same session and task share one undo step in the user's app, and edits that name no task share one step per session; a user edit, an undo or ten idle minutes start a new one.

Developing: building the CLI from source

From a clone of the repo, the server prefers a CMake build of the standalone audionaut-cli, which is not sandboxed:

  1. Build the CLI (from the repo root):
   cmake -B build -S Audionaut/Catch2Tests

cmake --build build -j8 --target AudionautCli

  1. Install the server's dependencies:
   cd Tools/audionaut-mcp && npm install
  1. Register the checkout instead of the npm package. Claude Code:
   claude mcp add audionaut -- node /path/to/Audionaut/Tools/audionaut-mcp/index.js

Claude Desktop: the JSON above with "command": "node" and "args": ["/path/to/Audionaut/Tools/audionaut-mcp/index.js"].

npm test drives the server through a real MCP client against whichever binary it finds (AUDIONAUT_CLI picks one). With the sandboxed macOS app it works in a scratch folder under ~/Music; AUDIONAUT_TEST_DIR overrides the location.

Paths in tool arguments are best given absolute — relative paths resolve against the server process's working directory, which depends on the MCP client.

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