# Space Dust MCP

> Space Dust MCP — jwang47-space-dust-synthesizer-mcp. Use this tool when you need to create customized synthesizer presets without manual tweaking, and instead describe your desired sound in natural language to generate unique Space Dust presets with live updates and safety features. It solves the problem of tedious preset adjustment by providing an intuitive interface that takes natural language inputs and outputs tailored preset files. Ideal for music producers and sound designers seeking efficient and creative sound shaping solutions.

Canonical page: https://skillsregistry.net/skills/jwang47-space-dust-synthesizer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jwang47-space-dust-synthesizer-mcp

## Description

Lets users shape Space Dust synthesizer presets by describing the sound they want in natural language, instead of turning knobs. It reads, creates, adjusts, and compares preset files, with safety rails and live updates.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b3h337b630)
- **Repository:** <https://github.com/jwang47/Space_Dust_Synthesizer_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": "jwang47-space-dust-synthesizer-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jwang47-space-dust-synthesizer-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jwang47-space-dust-synthesizer-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