A KanaWorks_AI project

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Audio Studio MCP gives Claude Code, Claude Desktop, Cursor and any other MCP client a sound studio that runs on your own Mac or Windows PC. Ask for background music or a sound effect in plain language; the model generates it locally with Stable Audio 3. Then it can loop it, normalize the loudness and export it for your game engine or video editor. There is no cloud service and no API key, and generating doesn't cost anything.

_{A real session, shortened. Claude picked a loop length of exactly 11 bars so the beat stays in time when it repeats.}

Generate BGM, instrument loops and sound effects from one sentence, 1–4 candidates per call

Edit Re-style a whole clip, regenerate a time range, or extend a track

Finish Seamless loops, fades, loudness (LUFS), 48 kHz WAV / OGG / FLAC

Local Runs on Apple Silicon (MLX) or an NVIDIA GPU (PyTorch). Nothing is uploaded

• Reproducible: every file gets a .json sidecar with its prompt, seed and settings.
• Prompting built in: the server teaches the client the official Stable Audio 3 prompt format, so a request like "make it sound like a creaky door" becomes a prompt the model understands.
• Same output as upstream: on a Mac, results for the same seed are bit-for-bit identical to the official sa3 CLI. On Windows it calls the official Stable Audio 3 PyTorch API.

All of these were generated by this server on an M1 Mac and were not edited by hand. Open the sample page →

	Sample	Prompt
	Lo-fi cafe music · 30 s · 85 BPM	Lo-fi hip-hop chill track with mellow electric piano, soft vinyl crackle, low-pass filtered drums…
	Epic orchestral music · 30 s	Epic cinematic orchestral trailer music with thundering taiko drums, soaring French horns…
	Chiptune adventure music · 20 s · 150 BPM	Upbeat 8-bit chiptune adventure theme with a bright square wave lead…
	Glass shatter sfx · 3 s	source: glass bottle · action: shattering on impact · material: thick green glass · space: concrete floor
	Rain & thunder sfx · 12 s	source: heavy rain and distant thunder · space: outdoor forest at night, wide stereo
	Synthwave, extended edit · 20 s → 40 s	edit_audio continue: a 20-second track extended to 40 seconds

MP3s are in docs/samples/, with prompts and seeds in samples.json.

flowchart LR
    U["You<br/>“make a cozy cafe BGM”"] --> C["Claude Code · Desktop<br/>Cursor · any MCP client"]
    C -- "MCP" --> S["audio-studio-mcp<br/>generate · edit · process"]
    S --> M["Stable Audio 3<br/>MLX on Apple Silicon<br/>PyTorch on NVIDIA GPUs"]
    M --> F["WAV / OGG / FLAC + .json<br/>ready for game & video"]

Requirements:

• Apple Silicon Mac (M1 or later), 16 GB RAM recommended
• About 6 GB of disk for the model
• git and ffmpeg (brew install ffmpeg)

git clone https://github.com/kanaworksai-hue/audio-studio-mcp.git
cd audio-studio-mcp
./install.sh

The installer sets up uv if needed, clones the official Stable Audio 3 runtime into vendor/ at a tested commit, creates .venv/, and downloads the medium model (1.4B, ~5.9 GB) from Hugging Face. It finishes by printing the exact command to register the server:

claude mcp add --scope user audio-studio -- /path/to/audio-studio-mcp/.venv/bin/audio-studio-mcp

Requirements:

• 64-bit Windows 10 or 11 with an NVIDIA GPU (8 GB of VRAM or more) and a current driver. Tested on an RTX 3060 12 GB
• About 14 GB of disk for the model and PyTorch
• git (winget install Git.Git) and ffmpeg (winget install Gyan.FFmpeg)
• A free Hugging Face account. The PyTorch weights are gated: open stabilityai/stable-audio-3-medium and accept the license once

git clone https://github.com/kanaworksai-hue/audio-studio-mcp.git
cd audio-studio-mcp
powershell -ExecutionPolicy Bypass -File install.ps1

The installer does the same steps as on macOS, but installs PyTorch with CUDA and downloads the official PyTorch checkpoint of the medium model (~10.4 GB). If you aren't logged in to Hugging Face yet, it asks for an access token with read permission (create one here). When it runs without a console (for example, started by an AI agent), it never asks: it prints the steps to log in and stops, and you re-run it after logging in. It finishes by printing the command to register the server:

claude mcp add --scope user audio-studio -- "C:\path\to\audio-studio-mcp\.venv\Scripts\audio-studio-mcp.exe"

Flash Attention is not needed. Without it, the runtime falls back to PyTorch's built-in attention.

{
  "mcpServers": {
    "audio-studio": {
      "command": "/path/to/audio-studio-mcp/.venv/bin/audio-studio-mcp"
    }
  }
}

Then just ask:

• "Make a 60-second lo-fi BGM loop at 85 BPM for a cafe scene, give me 3 candidates."
• "I need a heavy wooden door slamming in a stone hallway. Export it as OGG for Godot."
• "Extend this track to 90 seconds and normalize it to −16 LUFS."

.venv/bin/audio-studio-mcp --http 8765 --preload
claude mcp add --scope user --transport http audio-studio http://127.0.0.1:8765/mcp

Medium model on an M1 Mac with 16 GB:

Medium model on Windows with an RTX 3060 12 GB:

On a Mac, loaded models use about 5–7 GB of memory. On the RTX 3060, the medium model peaked at about 5.3 GB of VRAM. Models are freed after the idle timeout or by unload_models.

• Apple Silicon backend (Stable Audio 3, MLX)
• Windows backend for NVIDIA GPUs (Stable Audio 3, PyTorch)
• LoRA support (the upstream runtime already has it)

Issues and pull requests are welcome.

If Audio Studio made a sound you ended up using, please click ⭐ Star at the top of the repository page. It's free, takes one second, and helps more than it looks:

• More people find it. Stars make the project easier to discover on GitHub, so more game developers and video makers get to use it.
• It keeps updates coming. Every star tells me someone finds this useful. That's what keeps me working on the next update, like LoRA support.

Other ways to help: open an issue for a bug or an idea, or share a sound you made on X and tag @KanaWorks_AI.

uv run pytest                              # offline tests, no model needed
.venv/bin/python scripts/smoke_test.py     # end-to-end with the real model (~30 s on an M1)

On Windows: .venv\Scripts\python scripts\smoke_test.py (~45 s on an RTX 3060, including model loading).

src/audio_studio_mcp/
  server.py            MCP tools (backend-independent)
  prompts.py           prompt building and the instructions sent to clients
  post.py              post-processing and export
  backends/base.py     backend interface
  backends/sa3_mlx.py  Stable Audio 3 on Apple Silicon (MLX)
  backends/sa3_torch.py  Stable Audio 3 on NVIDIA GPUs (PyTorch)

A new platform is added as another backend in backends/.

• This project: MIT.
• Stable Audio 3 runtime: downloaded into vendor/ at install time. It is © Stability AI and MIT-licensed.
• Model weights: licensed under the Stability AI Community License. They are downloaded from Hugging Face (macOS: stable-audio-3-optimized; Windows: stable-audio-3-medium and the small models), not distributed here.
• Brand: the KanaWorks_AI name, logo and the Kana character are © 東京AI映像合同会社 (Tokyo AI Visuals LLC) and are not covered by the MIT license. See docs/brand.
• Built on: Stable Audio 3, MLX, PyTorch and the Model Context Protocol.

This is an independent project. It is not affiliated with or endorsed by Stability AI, Apple, NVIDIA or Anthropic.