# Design System MCP Server

> Design System MCP Server — nhatnguyenquang1838-coder-ds-mcp-server. Use this tool when you need to integrate ChatGPT agents with a design system backend, enabling them to perform health checks and exchange design request context and results. It solves problems of agent-backend communication and design data synchronization, accepting inputs such as agent requests and design context, and producing outputs like agent results and health status. Ideal for use cases requiring seamless interaction between AI agents and design systems, streamlining the design workflow.

Canonical page: https://skillsregistry.net/skills/nhatnguyenquang1838-coder-ds-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/nhatnguyenquang1838-coder-ds-mcp-server

## Description

Self-hosted MCP server that enables ChatGPT agents to perform health checks, fetch design request context, and submit agent results back to a design system backend.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k4hmcgp90l)
- **Repository:** <https://github.com/dw18031988/ds_mcp_server>

## 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": "nhatnguyenquang1838-coder-ds-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nhatnguyenquang1838-coder-ds-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nhatnguyenquang1838-coder-ds-mcp-server/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