# io.github.alexalexalex222/frontend-design-loop-mcp

> io.github.alexalexalex222/frontend-design-loop-mcp — alexalexalex222-frontend-design-loop-mcp. Use this tool when you need to improve web page designs through iterative refinement, as it enables coding agents to analyze screenshots and generate proof artifacts to create materially better pages. It solves problems of suboptimal web page design by providing a data-driven design loop. The tool takes in screenshots and design parameters as inputs and outputs improved design artifacts.

Canonical page: https://skillsregistry.net/skills/alexalexalex222-frontend-design-loop-mcp  
JSON: https://api.skillsregistry.net/v1/skills/alexalexalex222-frontend-design-loop-mcp

## Description

Frontend Design Loop MCP enables coding agents to improve web page designs through screenshot-grounded iteration and proof artifacts, making pages materially better.

## Trust

- **Trust score (0–1):** 0.65
- **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/vppne0m6df)
- **Repository:** <https://github.com/alexalexalex222/frontend-design-loop-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": "alexalexalex222-frontend-design-loop-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alexalexalex222-frontend-design-loop-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alexalexalex222-frontend-design-loop-mcp/pull`

---
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
