audiogen-mcp 0.1.1

MCP server for generating sound effects using Meta's AudioGen

AudioGen MCP Server

An MCP server that generates sound effects from text descriptions using Meta's AudioGen model. Designed for Apple Silicon Macs.

Prerequisites

• macOS with Apple Silicon (M1/M2/M3/M4)
• Python 3.9-3.11 (3.12+ not yet supported by audiocraft)
• ffmpeg: brew install ffmpeg
• ~4GB disk space for model weights
• ~8GB RAM recommended

Installation

Due to audiocraft's complex dependencies, installation requires a virtual environment:

# Create virtual environment with Python 3.11
uv venv ~/.audiogen-env --python 3.11
source ~/.audiogen-env/bin/activate

# Install dependencies
pip install torch torchaudio

# Install audiocraft (may take a few minutes to build)
pip install audiocraft --no-build-isolation

# Install audiogen-mcp
pip install audiogen-mcp

The first run will download the AudioGen model (~2GB).

Configure Claude Code

claude mcp add audiogen ~/.audiogen-env/bin/python -- -m audiogen_mcp.server

Or add to ~/.config/claude/claude_desktop_config.json:

{
  "mcpServers": {
    "audiogen": {
      "command": "/Users/YOUR_USERNAME/.audiogen-env/bin/python",
      "args": ["-m", "audiogen_mcp.server"]
    }
  }
}

Available Tools

Tool	Description
generate_sound_effect	Generate a single sound effect from text
generate_batch_sound_effects	Generate multiple sounds at once
list_generated_sounds	List previously generated files
get_model_status	Check model and device status

Example Prompts

Once configured, ask Claude Code to generate sounds:

• "Generate an explosion sound effect"
• "Create UI sounds: click, hover, and error"
• "Make a retro 8-bit power-up sound, 2 seconds long"
• "Generate footsteps on gravel, 5 seconds"

Prompt Tips

For best results, be specific:

# Good
"glass breaking, single wine glass falling on tile floor"
"8-bit arcade explosion, retro game style"
"button click, soft, satisfying UI sound"

# Less good
"glass sound"
"explosion"
"click"

Include style, mood, and context for better results.

Performance

• ~60 seconds to generate 5 seconds of audio
• First generation takes longer (model loading)
• Uses Metal Performance Shaders (MPS) for GPU acceleration

Output

Generated files save to ~/audiogen_outputs/ by default as WAV files.

Troubleshooting

Installation fails with xformers error

This is expected on Apple Silicon. The server mocks xformers at runtime since it's only needed for CUDA. If audiocraft installation fails, try:

pip install torch torchaudio
pip install audiocraft --no-build-isolation

Model download fails

Ensure stable internet and sufficient disk space. The model downloads from HuggingFace Hub.

Slow generation

Check device with get_model_status tool. CPU fallback is 10-20x slower than MPS.

MPS not available

Requires macOS 12.3+ and PyTorch 2.0+.

License

MIT License - see LICENSE file.

Acknowledgments

• Meta AudioCraft - The underlying AI model
• MCP - Model Context Protocol specification