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mcp-soundfx

Local text-to-SFX generation for AI agents. An MCP server that runs Stability AI's Stable Audio Open 1.0 on your own NVIDIA GPU, so any MCP-capable agent (Claude Code, Claude Desktop, etc.) can generate 44.1 kHz stereo WAV sound effects from text prompts. After the initial model download it runs fully offline, with no API costs or usage limits.

What it does

Exposes one tool, generate_sound:

Parameter

Description

prompt

Sound description, written like a brief to a sound designer ("glass shattering on a tile floor", "retro 8-bit coin pickup")

output_path

Absolute path for the output file; must name a .wav

negative_prompt

Qualities to steer away from ("hiss, static, distortion")

duration_seconds

Up to 47 s (UI clicks: 0.5–1.5 s, impacts: 2–5 s, ambience: 10–30 s)

steps

50 = fast draft, 100 = production, 200 = max fidelity

seed

Deterministic per (prompt, seed) — change to audition variations

The model generates SFX, foley, ambience, and musical phrases; it does not generate speech or vocals. The pipeline loads in float16 (~2.5 GB VRAM) and is torn down after every call, so the GPU is free between generations.

Related MCP server: minimax-omni

Setup

Requirements: Windows/Linux, Python 3.10+, NVIDIA GPU with ~3 GB free VRAM, CUDA-capable torch.

  1. Accept the gated model license (one time): log into Hugging Face and accept the terms on the stable-audio-open-1.0 page, then create a Read token at Token Settings.

  2. Install:

    cd mcp-soundfx
    python -m venv .venv
    .venv\Scripts\activate          # Windows (source .venv/bin/activate on Linux)
    pip install torch --index-url https://download.pytorch.org/whl/cu121
    pip install -r requirements.txt
  3. Register the server with your MCP client. For Claude Code / Claude Desktop:

    {
      "mcpServers": {
        "mcp-soundfx": {
          "command": "powershell.exe",
          "args": ["-ExecutionPolicy", "Bypass", "-File", "C:\\path\\to\\mcp-soundfx\\run.ps1"],
          "env": { "HF_TOKEN": "hf_your_read_token" }
        }
      }
    }

    The launch scripts use .venv next to the script by default; set MCP_SOUNDFX_VENV to point elsewhere.

  4. Smoke test (optional, ~30 s on first run after model download):

    python test_generation.py

The first generation downloads the model weights (~2.5 GB) to your Hugging Face cache; everything after that is offline.

Output paths

The resolved output path must name a .wav file. Set MCP_SOUNDFX_OUTPUT_DIR to confine every generation to one directory; unset, the server writes wherever the caller points it.

License

The server code is Apache License 2.0 © 2026 Core Epoch LLC.

The model (Stable Audio Open 1.0) is gated and separately licensed by Stability AI under the Stability AI Community License — free for research, non-commercial, and commercial use by entities under $1M annual revenue; you accept those terms directly with Stability AI when you unlock the model, and generated outputs are yours. This project is not affiliated with or endorsed by Stability AI.

A
license - permissive license
Not graded
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

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