# guitar-modeler-mcp

> guitar-modeler-mcp — d-led-guitar-modeler-mcp. Use this tool when you need to design and optimize guitar patches using AI assistance, solving problems such as finding the perfect tone and streamlining the patch creation process. It takes in user input and guitar modeler parameters, outputting customized patch designs. Ideal for musicians and producers seeking to enhance their guitar sound in music production and live performance contexts.

Canonical page: https://skillsregistry.net/skills/d-led-guitar-modeler-mcp  
JSON: https://api.skillsregistry.net/v1/skills/d-led-guitar-modeler-mcp

## Description

MCP for AI-assisted patch design with various guitar modelers

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MPL-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/d-led/guitar-modeler-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": "d-led-guitar-modeler-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/d-led-guitar-modeler-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/d-led-guitar-modeler-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