# vcv-rack-mcp

> vcv-rack-mcp — sandraschi-vcv-rack-mcp. Use this tool when you need to generate modular synth patches or control VCV Rack setups programmatically. It solves problems of patch creation, catalog management, and live performance control by providing a JSON-based interface for Large Language Models (LLMs) to interact with VCV Rack. This tool is ideal for music producers, sound designers, and live performers seeking to automate or enhance their workflow with VCV Rack.

Canonical page: https://skillsregistry.net/skills/sandraschi-vcv-rack-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sandraschi-vcv-rack-mcp

## Description

Enables LLMs to compose VCV Rack modular synth patches by generating plain JSON, with tools for patch creation, catalog search, and live OSC control.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f1qf7mgvc6)
- **Repository:** <https://github.com/sandraschi/vcv-rack-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": "sandraschi-vcv-rack-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sandraschi-vcv-rack-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sandraschi-vcv-rack-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