# playwright-accessibility-mcp-server

> Use this tool when you need to automate accessibility testing for web applications, scanning URLs, HTML content, or batches to identify violations and generate summary reports. It solves problems related to ensuring digital accessibility compliance, simplifying the process of detecting and addressing accessibility issues. The tool accepts URLs, HTML content, or batches as input and outputs detailed reports of accessibility violations, making it ideal for use in development, testing, and quality assurance contexts.

Canonical page: https://skillsregistry.net/skills/deepakkamboj-playwright-accessibility-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/deepakkamboj-playwright-accessibility-mcp-server

## Description

Enables accessibility testing using Playwright and Axe, allowing users to scan URLs, HTML content, and batches for violations, and summarize results.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qom2jbasyj)
- **Repository:** <https://github.com/deepakkamboj/playwright-accessibility-mcp-server>

## 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": "deepakkamboj-playwright-accessibility-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/deepakkamboj-playwright-accessibility-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/deepakkamboj-playwright-accessibility-mcp-server/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