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MCP Accessibility Scanner · Platform 02 / 06

Accessibility audits, inside your AI workflow.

The first accessibility scanner built for AI-native development. Ask Claude or your coding assistant to scan a site for WCAG issues — and get back evidence, video recordings of real screen-reader user journeys, and developer-ready fix guidance.

Connect it to Claude Desktop, VS Code, or run it directly from the command line. Every scan produces auditable evidence — including a video showing exactly what a blind user hears and experiences.

Model Context Protocol WCAG 2.0 / 2.1 / 2.2 Section 508 NVDA video evidence
The problem

Why traditional accessibility workflows break down.

Accessibility keeps getting bolted on after the fact — separate tool, separate report, separate mental model.

i.

Lives in a separate tool

Developers write code in one environment, then switch to a different scanner, upload URLs, wait for results, and context-switch back to fix issues. Accessibility becomes a chore — not part of the flow.

ii.

Reports describe, don't convey

A rule violation like "missing aria-label" is technically accurate but doesn't show what a blind user actually experiences. Stakeholders need to feel the problem, not just read about it.

iii.

Single-page scanners miss flows

Authenticated flows, multi-step journeys, and deeply linked applications are hard to audit with tools that only scan one page at a time without resume or prioritisation logic.

What's different

Four capabilities that make accessibility part of dev.

01

Works inside your AI assistant

Connect it as an MCP server to Claude Desktop, VS Code, or any MCP-compatible AI tool. Ask in plain language — "scan example.com for WCAG 2.1 AA issues and tell me what to fix first" — and get back a structured audit alongside your code.

02

NVDA video simulation with overlay

The scanner drives a real NVDA screen reader through the site and records a video of the journey — with visual overlays showing each announcement. Sighted developers, designers, and executives see the blind-user experience firsthand.

03

Smart site-wide crawling

Crawls entire sites with intelligent URL prioritisation — homepage and high-traffic pages first, deep links later. Resume-capable, so long audits of large sites can pause and continue without losing progress.

04

Hybrid rule + AI detection

Combines a deterministic WCAG rule engine with AI-powered contextual analysis for nuanced issues — unclear labels, misleading controls, confusing heading structures — that static rules miss.

What it covers

Evidence you can share, automation you can trust.

Full WCAG & Section 508 coverage

WCAG 2.0, 2.1, 2.2 at levels A, AA, AAA, plus Section 508 mapping — all with specific criterion-level attribution per finding.

NVDA blind-user journey recording

Video walkthroughs with NVDA narration overlaid showing focus, announcements, and keyboard flow — turning abstract issues into visible, shareable evidence.

Rich browser automation

Click through multi-step forms, handle dialogs, switch tabs, upload files, export PDFs, and capture screenshots — letting you audit authenticated flows and complex journeys, not just static pages.

Annotated AI report analyzer

Generates HTML, DOCX, and PDF reports with annotated screenshots, video frames, WCAG references, and fix guidance per issue — ready for compliance, developers, and executives.

Enterprise-ready operation

Authenticated scanning for logged-in areas, progress saving for long crawls, and the ability to run entirely within your own infrastructure when required.

Per-finding fix suggestions

Every issue ships with actionable guidance aligned to WCAG — so the same AI that found the problem can help you resolve it.

How it works

Two ways to run the scanner — same evidence.

Use it conversationally in your AI assistant, or headlessly in a pipeline.

i
Option 1

Through your AI assistant

Connect the MCP server to Claude Desktop or VS Code. Ask your assistant to run an accessibility scan on any URL, discuss findings conversationally, and pull in evidence on demand — all inside your existing coding workflow.

ii
Option 2

Through the command line

Run the scanner directly from a terminal with a single command. Useful for CI/CD pipelines, scheduled audits, and headless environments where you need accessibility checks without a human in the loop.

iii
What you get

A complete evidence bundle

Machine-readable JSON, annotated screenshots, a stakeholder-ready NVDA journey video, and HTML / DOCX / PDF reports with WCAG references and fix suggestions — every scan, every time.

Why it matters

An AI-native scanner changes the conversation.

"

Accessibility becomes part of dev

When the scanner lives inside the AI assistant developers already use, accessibility stops being a separate step and becomes part of writing and reviewing code.

"

Evidence that persuades

A video of a screen reader struggling through your checkout is more persuasive than a spreadsheet of violations. It aligns leadership, design, and product on fixes.

"

Compliance-ready audits

Per-criterion attribution, video evidence, and annotated screenshots form a complete evidence pack for legal, regulatory, and enterprise compliance.

Who it's for

Built for teams that live inside AI tools.

Whether you're reviewing a PR, briefing a client, or running an overnight crawl.

  • Developers using Claude Desktop, VS Code, or other MCP-compatible AI assistants
  • Accessibility consultants needing video-based evidence to communicate issues to clients
  • Compliance teams requiring auditable trails across WCAG, Section 508, and ADA
  • QA engineers integrating accessibility checks into CI/CD
  • Enterprises needing large-scale, resume-capable site crawling
Request early access

Bring accessibility into your AI flow.

Share your details to request early access, pricing, or a guided walkthrough. We'll follow up with setup instructions for your preferred environment.

Closed alpha · Invite-only onboarding