SuperCollider

Provides an MCP server to execute SuperCollider synths via supercolliderjs and MCP tooling.

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GitHub Stars

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Language

4 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "mcp-mirror-synohara_supercollider-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@makotyo/mcp-supercollider"
      ]
    }
  }
}

The SuperCollider MCP Server lets you remotely execute SuperCollider synths from an MCP client, enabling you to control sound generation from your workspace while leveraging SuperCollider’s audio engine through a lightweight, scriptable interface.

How to use

You connect to the server from your MCP client and start specific synths or sequences using the MCP protocol. Use it to trigger, modify, or stop synthesis in real time and to route synthesis requests through the familiar MCP client workflow you already rely on for other servers. Ensure your client is configured to reference the MCP server you’ve enabled, and keep in mind this server is designed to work on macOS devices with Apple Silicon for optimal compatibility.

How to install

Prerequisites you need on your machine before starting:

Install SuperCollider on your machine.
Install Node.js and npm on your machine. You can download them from the official Node.js website.

Follow the configuration options below to register the MCP server in your environment.

{
  "mcpServers": {
    "mcp-supercollider": {
      "command": [
        "npx", 
        "-y",
        "@makotyo/mcp-supercollider"]
    }
  }
}

{
  "mcp": {
    "servers": {
      "mcp-supercollider": {
        "command": "npx",
        "args": [
          "-y",
          "@makotyo/mcp-supercollider"
        ]
      }
    }
  }
}

Additional notes

The server has been tested for macOS on Apple Silicon (M1). If you run on a different platform, proceed with caution and verify compatibility before integrating into automated workflows.