# ds-mcp

> ds-mcp — aestheticfunction-ds-mcp. Use this tool when you need to integrate design system elements into AI coding workflows, providing access to tokens, components, and patterns stored in dspack files. It solves problems of design consistency and automation by exposing these elements as tools for AI agents, accepting dspack files as input and outputting usable design system data. Ideal for use cases involving AI-driven coding and design system implementation, particularly in git-based development environments.

Canonical page: https://skillsregistry.net/skills/aestheticfunction-ds-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aestheticfunction-ds-mcp

## Description

Read-only MCP server for dspack: design-system queries, generation context, and surface validation for AI coding agents. No network, no shell, no writes.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** file-system
- **Updated:** 2026-09-21

## Source

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

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