SoX MCP Server

A Model Context Protocol (MCP) server that provides powerful audio inspection and processing capabilities to LLM agents. This server wraps the SoX (Sound eXchange) command-line utilities, allowing AI agents to "hear" and manipulate audio files through structured JSON interfaces.

🚀 Features

Agents can use this server to perform a wide range of audio tasks:

• Inspection: Get detailed metadata (duration, sample rate, channels, bitrate, format, encoding) and statistical analysis (RMS, peak level, etc.) from audio files.

• Conversion: Convert audio between formats (e.g. WAV to MP3).

• Processing:

  • Resample audio to different sample rates.

  • Adjust volume, normalize peaks, or apply gain.

  • Trim audio or remove silence (VAD).

  • Remix or swap audio channels.

  • Concatenate or mix multiple audio files.

  • Apply a vast array of SoX effects (reverb, equalizer, delay, etc.).

• Generation: Generate pure sine tones, white noise, or silence for testing.

• Discovery: List audio files within a directory with optional extension filtering.

Related MCP server: Audio Analysis MCP Server

📋 Prerequisites

1. Python 3.10+

2. SoX Utilities: You must have the sox and soxi executables installed on your system and available in your PATH.

   • Windows: Download from sox.sourceforge.net or install via choco install sox.

   • macOS: brew install sox

   • Linux: sudo apt-get install sox libsox-fmt-all

🛠️ Installation

1. Clone the repository

git clone <repository-url>
cd sox-mcp-server

2. Set up a Virtual Environment

python -m venv .venv
# On Windows:
.venv\Scripts\activate
# On macOS/Linux:
source .venv/bin/activate

3. Install Dependencies

pip install -r requirements.txt

💻 Development

Running the Server

The server uses the MCP standard I/O transport. To run it manually for debugging:

python sox_mcp_server.py

Testing

We provide a smoke test script to verify the server and its connection to the SoX binaries:

# Ensure you are in your virtual environment
python test_smoke.py

Environment Variables

If sox or soxi are not in your system PATH, you can specify their location using the SOX_PATH environment variable.

🤖 Integration

Claude Desktop

To use this server with the Claude Desktop app, add it to your configuration file.

Config Location:

• Windows: %APPDATA%\Claude\claude_desktop_config.json

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

Configuration Example:

{
  "mcpServers": {
    "sox-mcp": {
      "command": "C:\\path\\to\\your\\project\\.venv\\Scripts\\python.exe",
      "args": [
        "C:\\path\\to\\your\\project\\sox_mcp_server.py"
      ],
      "env": {
        "SOX_PATH": "C:\\Program Files\\sox\\sox.exe"
      }
    }
  }
}

Note: Use absolute paths for the python executable and the server script. If sox is not in your system PATH, use the SOX_PATH environment variable as shown above.

LM Studio

LM Studio supports MCP servers. To add this server:

1. Open LM Studio.

2. Navigate to the MCP section in the settings/sidebar.

3. Click Add Server (or equivalent depending on your version).

4. Select Command/Stdio as the connection type.

5. Enter the following:

   • Command: The path to your .venv\Scripts\python.exe.

   • Arguments: The absolute path to sox_mcp_server.py.

6. Click Save/Connect.

🛠️ Tool List