# com.overlayqa/mcp

> Use this tool when you need to ensure digital accessibility and visual clarity in your projects. It runs automated audits for accessibility and contrast, identifying issues and filing QA reports from various code editors like Claude Code, Cursor, and Windsurf. This tool is ideal for developers and designers seeking to enhance user experience and comply with accessibility standards.

Canonical page: https://skillsregistry.net/skills/com-overlayqa-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-overlayqa-mcp

## Description

Run accessibility, contrast, and design token audits and file QA issues from your AI coding tool.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 0.1.4
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.overlayqa%2Fmcp)

## 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": "com-overlayqa-mcp"
    }
  }
}
```

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