# supercollider-mcp

> Use this tool when you need to create and manage complex audio processing and synthesis workflows. Supercollider-mcp solves problems related to real-time audio manipulation, live coding, and interactive music systems, providing an interface for designing and controlling custom audio signals. It accepts inputs such as code and audio data, and outputs generated audio and visualization, ideal for use in live performances, installations, and music production contexts.

Canonical page: https://skillsregistry.net/skills/synohara-supercollider-mcp  
JSON: https://api.skillsregistry.net/v1/skills/synohara-supercollider-mcp

## Description

supercollider-mcp

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tsx93e6vgi)
- **Repository:** <https://github.com/Synohara/supercollider-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "synohara-supercollider-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/synohara-supercollider-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/synohara-supercollider-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt