# quieto-mcp

> quieto-mcp — dillonschultz93-quieto-mcp. Use this tool when you need to generate and analyze design tokens for large language models (LLMs) using Quieto Tokens. It solves problems related to design consistency and token management by providing a server-based interface for LLMs to access and utilize these tokens. The quieto-mcp tool accepts Git-based inputs and outputs design token data for use in LLM applications.

Canonical page: https://skillsregistry.net/skills/dillonschultz93-quieto-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dillonschultz93-quieto-mcp

## Description

An MCP server that exposes Quieto Tokens design token generation and analysis as tools for LLMs.

## 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:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/dillonschultz93/quieto-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": "dillonschultz93-quieto-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dillonschultz93-quieto-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dillonschultz93-quieto-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