# MCP-Stack-for-UI-UX-Designers

> MCP-Stack-for-UI-UX-Designers — panktishah62-mcp-stack-for-ui-ux-designers. Use this tool when you need to streamline your UI/UX design workflow, automate tasks, and enhance collaboration through AI assistance. It solves problems such as manual design handoffs, inspiration gathering, and version control by integrating multiple MCP servers and git capabilities. The MCP-Stack-for-UI-UX-Designers takes in design inputs and outputs automated design enhancements, streamlined workflows, and development-ready designs.

Canonical page: https://skillsregistry.net/skills/panktishah62-mcp-stack-for-ui-ux-designers  
JSON: https://api.skillsregistry.net/v1/skills/panktishah62-mcp-stack-for-ui-ux-designers

## Description

An end-to-end Model Context Protocol (MCP) solution that streamlines the entire UI/UX design workflow - from gathering inspiration to development handoff. This suite integrates multiple specialized MCP servers to automate and enhance the design process through AI assistance.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/panktishah62/MCP-Stack-for-UI-UX-Designers)

## 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": "panktishah62-mcp-stack-for-ui-ux-designers"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/panktishah62-mcp-stack-for-ui-ux-designers` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/panktishah62-mcp-stack-for-ui-ux-designers/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