# layout-doctor-mcp

> layout-doctor-mcp — h-kazuki-pixel-layout-doctor-mcp. Use this tool when you need to automatically detect layout defects in HTML rendering, such as text overlaps or element overflows, without requiring baseline images. It takes HTML as input and outputs numerical defect scores, solving problems like ensuring visual consistency and accuracy in web development and testing. This tool is ideal for use cases where automated layout validation is crucial, such as in continuous integration pipelines or automated testing environments.

Canonical page: https://skillsregistry.net/skills/h-kazuki-pixel-layout-doctor-mcp  
JSON: https://api.skillsregistry.net/v1/skills/h-kazuki-pixel-layout-doctor-mcp

## Description

Renders HTML in a headless browser and detects layout defects numerically, such as text overlaps, placeholder leftovers, and element overflow, without requiring baseline images.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w5yg24a88h)
- **Repository:** <https://github.com/h-kazuki-pixel/layout-doctor-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": "h-kazuki-pixel-layout-doctor-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/h-kazuki-pixel-layout-doctor-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/h-kazuki-pixel-layout-doctor-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