# Claude Collider

> Use this tool when you need to generate and play music using your Large Language Model (LLM) and SuperCollider. The Claude Collider solves the problem of creating musical compositions and audio outputs directly from LLM inputs, taking in text prompts and producing musical pieces as output. It is ideal for use cases such as music generation, audio experimentation, and creative projects that require LLM-driven musical composition.

Canonical page: https://skillsregistry.net/skills/jeremyruppel-claude-collider  
JSON: https://api.skillsregistry.net/v1/skills/jeremyruppel-claude-collider

## Description

An MCP server that enables your LLM to generate and play music through SuperCollider.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r8643noz2o)
- **Repository:** <https://github.com/jeremyruppel/claude-collider>

## 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": "jeremyruppel-claude-collider"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jeremyruppel-claude-collider` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jeremyruppel-claude-collider/pull`

---
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