AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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一分钟完成验证MCP server: AI agents scan any URL for WCAG accessibility issues (axe-core) and get per-element selectors + fixes to act on.
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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.查看完整 README ↗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.
CHROME_PATH to point at a specific binary if you'd rather choose. A browser already
installed by Playwright is used as a last resort; nothing is ever downloaded for you.Set SCANNER_API_URL and the scan runs on accessibilityscanner.app instead of locally:
{ "env": { "SCANNER_API_URL": "https://accessibilityscanner.app" } }
No account or key needed — it uses the same public endpoints the website's own form uses. Useful in CI, in a container, or anywhere you can't install a browser. Hosted scans also carry suggested fix colours for contrast failures, which the local scanner doesn't compute yet.
⚠️ In this mode the URL you scan is sent to our server. The local path sends nothing anywhere, and stays the default — hosted mode is opt-in via that environment variable only.
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" }
}
}
}
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.
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."
MIT