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Scan any URL for WCAG accessibility issues (axe-core) and get per-element fixes for an AI agent.
About
Scan any URL for WCAG accessibility issues (axe-core) and get per-element fixes for an AI agent.
Security Report
Well-designed MCP server with strong security practices for its stated purpose. The server runs accessibility scans locally using Playwright and axe-core, with proper input validation, no credential handling, and appropriately scoped permissions. Minor code quality observations around error handling and logging do not materially affect security posture. Supply chain analysis found 2 known vulnerabilities in dependencies (0 critical, 2 high severity). Package verification found 1 issue.
3 files analyzed · 6 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: CHROME_PATH
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-bishop81-accessibility-scanner-mcp": {
"env": {
"CHROME_PATH": "your-chrome-path-here"
},
"args": [
"-y",
"accessibility-scanner-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
accessibility-scanner-mcp
An MCP server that lets an AI agent scan a web page for WCAG accessibility issues and get back findings it can act on. The agent calls one tool with a URL; it gets every violation grouped by severity, each with the exact element selector, the offending HTML, the specific failure, the WCAG success criterion, and a fix-guide link — plus the items that still need human review.
It runs the real axe-core engine in your local Chrome
(via playwright-core), so nothing about the pages you scan leaves your machine. It scrolls the page
first so lazy-loaded content is actually checked rather than silently skipped, and it resolves
color contrast over CSS gradients, which most tools leave as "needs review."
Upgrading from 0.1.x? 0.2.0 sees more of each page and returns more findings for the same URL. See CHANGELOG.md.
Part of accessibilityscanner.app.
Requirements
- Node.js 18+
- Google Chrome installed (or set the
CHROME_PATHenvironment variable to a Chromium binary)
Install
Add it to your MCP client's config. No global install needed — npx fetches it on first run.
Claude Desktop (claude_desktop_config.json), Cursor, Claude Code, or any MCP client:
{
"mcpServers": {
"accessibility-scanner": {
"command": "npx",
"args": ["-y", "accessibility-scanner-mcp"]
}
}
}
If Chrome is not auto-detected, add an env block:
{
"mcpServers": {
"accessibility-scanner": {
"command": "npx",
"args": ["-y", "accessibility-scanner-mcp"],
"env": { "CHROME_PATH": "/usr/bin/google-chrome" }
}
}
}
The tool
scan_accessibility
| Input | |
|---|---|
url (string, required) | The http(s) URL to scan. |
Returns a report grouped by severity. For each rule: the WCAG criterion, a fix-guide link, and per element the selector, HTML, and exact failure. Example flow with an agent:
You: Audit https://example.com for accessibility and fix what you can. Agent: (calls
scan_accessibility) → reads the findings → edits the code → re-scans.
Honest about limits
Automated testing covers the machine-checkable subset of WCAG (most of the issues on a typical page, but not all of it). Items that need human judgement are returned under "Needs manual review." It never claims a page is "compliant."
License
MIT
Reviews
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