# Cursor A11y

> Use this tool when you need to automate accessibility testing for web applications, identifying issues and generating remediation suggestions to ensure WCAG compliance. It integrates with AI-assisted workflows, taking inputs from web applications and outputting detailed accessibility reports and analysis. Ideal for developers and organizations seeking to improve web accessibility through AI-powered testing and analysis.

Canonical page: https://skillsregistry.net/skills/westsideori-cursor-a11y  
JSON: https://api.skillsregistry.net/v1/skills/westsideori-cursor-a11y

## Description

This MCP server, developed by westsideori, provides accessibility testing capabilities for web applications. Built using Node.js and leveraging Puppeteer, it offers tools for automated accessibility checks and reporting. The implementation focuses on integrating accessibility testing into AI-assisted workflows, enabling AI models to perform and analyze accessibility audits. By connecting AI assistants with web accessibility tools, this server facilitates scenarios like automated WCAG compliance checks, accessibility issue detection, and generating remediation suggestions. It's particularly valuable for developers and organizations aiming to improve web accessibility through AI-powered testing and analysis.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/westsideori-cursor-a11y)
- **Repository:** <https://github.com/westsideori/cursor-a11y-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": "westsideori-cursor-a11y"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/westsideori-cursor-a11y` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/westsideori-cursor-a11y/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