WCAG Accessibility MCP
MCP serverAI & modelsGives your AI the ability to test web pages for WCAG accessibility problems and get clear guidance on fixing them. It can audit live pages, local files, or HTML you paste in, returning prioritized findings with evidence from the page. It also checks color contrast and can list the success criteria for WCAG 2.0, 2.1, and 2.2.
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What your AI can do with it
- Audit a live web page and get prioritized WCAG findings with evidence from the page
- Test pasted HTML or a local HTML file and receive findings with suggested corrections
- Check whether a foreground and background color pair passes WCAG contrast requirements
- Find the color adjustment that brings a failing pair up to a chosen WCAG contrast level
- Get implementation-focused fix steps and the rule reference for any issue found in an audit
- Pull the full checklist of success criteria for a WCAG 2.0, 2.1, or 2.2 profile at level A, AA, or AAA
Getting started
- Save this item in Your setup as a reference.
- Read the source or reference documentation for its setup requirements. Saving it here does not connect it to your AI.
- Check this page for availability before trying to install it through Ahel.
From the project's README
As published by aditya-ariosity/wcag-accessibility-mcp in README.md.
A WCAG accessibility testing MCP for AI agents, Codex, Claude Code, and automated UI audits.
WCAG Accessibility MCP gives AI coding and design agents a real accessibility feedback loop. It renders web interfaces in Chromium, runs axe-core, checks color contrast, maps findings to WCAG guidance, and returns structured evidence that an agent can use to fix accessibility issues before a UI is treated as complete.
It is designed for people building with AI: product designers, design engineers, frontend developers, AI product teams, and anyone using agents to generate or review web interfaces.
This is an automated testing aid, not a WCAG certification service. It catches many common failures, but full accessibility review still requires human testing for keyboard behavior, focus order, screen readers, zoom, motion, content quality, and assistive-technology behavior.
Why This Exists
AI-generated interfaces often look polished but fail basic accessibility checks: weak contrast, missing labels, broken semantic structure, poor ARIA usage, inaccessible forms, and hidden keyboard issues.
This MCP helps agents stop guessing. Instead of saying “follow WCAG,” it gives them testable feedback:
- what failed
- where it failed
- which element was affected
- which WCAG-related rule applies
- what needs to be fixed
- which checks still require manual review
What It Can Do
| Tool | What it does |
|---|---|
audit_url | Audits a rendered web page URL |
audit_html | Audits supplied HTML before it is hosted |
audit_file | Audits a local .html or .htm file inside an allowed project root |
audit_matrix | Experimental: audits one target across named viewports and groups findings by stable fingerprints |
compare_audits | Experimental: compares baseline and candidate audit results without rerunning the browser |
browser_diagnostics | Experimental: reports browser selection and setup guidance without launching Chromium |
inspect_screenshot | Experimental: captures screenshot evidence and optionally runs local OCR |
inspect_design_snapshot | Experimental: inspects exported Figma, Claude Design, or generic design-node data before implementation |
check_contrast | Calculates WCAG contrast for a foreground/background color pair |
suggest_contrast_fix | Suggests a passing color adjustment |
explain_issue | Explains an accessibility rule and how to fix it |
get_wcag_checklist | Returns the complete WCAG checklist with automated/manual coverage |
Standards Coverage
The server supports these profiles:
wcag2awcag2aawcag2aaawcag21aawcag21aaawcag22aawcag22aaabest-practice
AA profiles include Level A and AA criteria. AAA profiles include Level A, AA, and AAA criteria.
The default profile is wcag22aa.
For WCAG 2.2:
- AA includes 55 required success criteria.
- AAA includes 86 required success criteria.
An automated axe mapping means partial automated coverage. It does not mean the whole WCAG success criterion has been fully tested.
Install
Requirements:
- Node.js 20 or newer
- Chrome or Edge recommended
- Windows, macOS, or Linux
Install from npm:
npm install -g wcag-accessibility-mcp
Or run directly:
npx -y wcag-accessibility-mcp
If the server starts correctly, you should see:
wcag-accessibility-mcp is running over stdio
Use With Claude Code
Add the MCP server:
claude mcp add --scope user wcag-accessibility -- npx -y wcag-accessibility-mcp
Check that it is connected:
claude mcp list
Test prompt:
Use the wcag-accessibility MCP tool check_contrast. Check #999999 on #ffffff for WCAG AA normal text. Do not calculate manually.
Expected result:
The contrast ratio is about 2.85:1, which fails WCAG AA for normal text.
Use With Claude Desktop
Open the Claude desktop config file on Windows:
notepad "$env:APPDATA\Claude\claude_desktop_config.json"
Add this inside mcpServers:
{
"mcpServers": {
"wcag-accessibility": {
"command": "C:\\Program Files\\nodejs\\npx.cmd",
"args": [
"-y",
"wcag-accessibility-mcp"
]
}
}
}
If you already have another MCP server, keep it and add wcag-accessibility as a second entry.
Then fully quit Claude Desktop and reopen it.
Use With Codex
Add the MCP server:
codex mcp add wcag-accessibility -- npx -y wcag-accessibility-mcp
Test prompt:
Use the wcag-accessibility MCP to check the contrast of #999999 on #ffffff at WCAG AA.
Example Agent Prompts
Audit this HTML for WCAG 2.2 AA issues. Prioritize critical and serious issues, explain each fix, then list what still needs manual review.
Use wcag-accessibility to audit this local HTML file at desktop and mobile widths. Fix the accessibility issues in the code and rerun the audit.
Inspect this Figma or Claude Design snapshot for accessibility risks before implementation, then verify the rendered HTML with audit_matrix.
Capture a screenshot of this page and run OCR only if local OCR is configured. Use OCR findings as visual evidence, not as WCAG conformance.
Check whether #FF3B12 on #F5F2EC passes WCAG AA for normal text. If it fails, suggest the nearest passing foreground color.
Give me the WCAG 2.2 AAA checklist and separate automated checks from manual checks.
Local Development
Clone the repository:
git clone https://github.com/aditya-ariosity/wcag-accessibility-mcp.git
cd wcag-accessibility-mcp
Install dependencies:
npm install
Build:
npm run build
Run tests:
npm run test:unit
Run browser integration and end-to-end tests:
npm run test:browser
npm test is the deterministic browser-free unit suite. Use npm run test:browser when the machine has a working Chrome, Edge, Chromium, or bundled browser setup.
The CLI can write JSON, Markdown, or SARIF reports and compare a baseline:
npm run audit -- --url http://localhost:3000 --format json --out report.json
npm run audit -- --url http://localhost:3000 --baseline baseline.json --format md
Start the stdio MCP server:
npm start
Start the optional HTTP transport:
npm run start:http
The local HTTP endpoint is:
http://127.0.0.1:3000/mcp
Health check:
http://127.0.0.1:3000/health
Environment Variables
All environment variables are optional for normal local use.
| Variable | Default | Purpose |
|---|---|---|
A11Y_MCP_BROWSER_PATH | Auto-detected | Absolute path to Chrome, Chromium, or Edge |
A11Y_MCP_ALLOWED_ROOT | Current working directory | Restricts local file audits to a specific folder |
A11Y_MCP_ALLOW_PRIVATE | true on stdio, false on HTTP | Allows localhost/private-network URL audits in trusted environments |
A11Y_MCP_ENABLE_FILE_AUDIT | false on HTTP | Enables local file audits over HTTP in trusted deployments |
A11Y_MCP_BROWSER_CONCURRENCY | 2 | Maximum concurrent Chromium audits |
A11Y_MCP_AUDIT_TIMEOUT_MS | 25000 | Timeout for the audit phase |
A11Y_MCP_NO_SANDBOX | false | Disables Chromium sandboxing only when the runtime requires it |
A11Y_MCP_OCR_COMMAND | tesseract | Local OCR executable used by inspect_screenshot when runOcr is true |
A11Y_MCP_ENABLE_EXPERIMENTAL_TOOLS | false | Advertises the in-progress matrix, screenshot, diagnostics, and design-snapshot tools |
A11Y_MCP_ALLOW_LOCAL_FILE_SUBRESOURCES | false | Allows local file audits to load file-based images/stylesheets beneath the allowed root |
HOST / A11Y_MCP_HOST | 127.0.0.1 | HTTP bind address |
A11Y_MCP_ALLOWED_HOSTS | Localhost names | Allowed Host headers for HTTP mode |
A11Y_MCP_BODY_LIMIT | 4mb | HTTP JSON body limit |
PORT | 3000 | HTTP transport port |
Security Notes
The stdio server is meant to run locally with the same permissions as the agent using it.
The HTTP transport is a deployment building block, not a public hosted service by itself. Do not expose it directly to the public internet without authentication, TLS, rate limits, request-size limits, outbound network controls, and a low-privilege runtime.
By default:
- tools are read-only
- HTTP mode blocks private network URL targets
- local file audit over HTTP is disabled
- local file audit is restricted to the allowed root
- Chromium sandboxing remains enabled unless explicitly disabled
Published Links
- GitHub: https://github.com/aditya-ariosity/wcag-accessibility-mcp
- npm: https://www.npmjs.com/package/wcag-accessibility-mcp
- MCP Registry name:
io.github.aditya-ariosity/wcag-accessibility
Current Scope
The stable release currently audits rendered web interfaces and HTML. The evidence core reports criterion-level coverage and keeps unresolved manual requirements visible.
The stable release does not yet inspect:
- native mobile apps
- PDFs
- canvas-only interfaces
- video captions
- raw screenshots without HTML
- raw Claude Design pixels
Matrix, screenshot/OCR, and design-snapshot modules are experimental and require A11Y_MCP_ENABLE_EXPERIMENTAL_TOOLS=true. Direct Figma plugin inspection, persistence, automatic fixes, and deeper design-tool adapters remain future work.
License
MIT
Tools it gives your AI (7)
| Tool | What it does |
|---|---|
| audit_url | Load a public or local web page in headless Chromium, run axe-core, and return prioritized WCAG findings, DOM evidence, computed styles, and contrast corrections. Read-only. |
| audit_html | Render supplied HTML in an isolated headless browser and return WCAG findings plus evidence and suggested corrections. Use for generated UI before it is hosted. Read-only. |
| audit_file | Render a local .html or .htm file beneath the configured allowed root and return accessibility findings and corrections. Read-only. |
| check_contrast | Calculate the WCAG contrast ratio for foreground and background colors and determine whether the pair passes for the supplied text size and weight. |
| suggest_contrast_fix | Find the nearest black-or-white-directed foreground or background adjustment that reaches the selected WCAG contrast threshold. Returns a mathematical candidate, not an automatic edit. |
| explain_issue | Return implementation-focused remediation steps and the axe rule reference for a rule ID found in an audit. |
| get_wcag_checklist | Return every success criterion required by a WCAG 2.0, 2.1, or 2.2 A/AA/AAA profile, with W3C references, axe rule mappings, and explicit automated-partial versus manual coverage. |
Signals
- GitHub stars
- 1
- Last commit
- Aug 2026
- Weekly downloads
- 40
- Tools captured
- 7
Advanced
- Delivery
- wcag-accessibility MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
io-github-aditya-ariosity-wcag-accessibility- Source
- github.com/aditya-ariosity/wcag-accessibility-mcp
github.com/aditya-ariosity/wcag-accessibility-mcp
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