AI generated image by ChatGPT
The alarm didn’t ring. It never does anymore. The apartment lights shifted from amber to blue and Sasha muttered toward the ceiling, still half-asleep.
“What’s on the board today?”
“The Acme Corp redesign. Four thousand pages. Last week’s audit flagged over eight hundred accessibility issues.”
Sasha groaned. Eight hundred issues. The mental image was instant: clicking through report after report, copying error codes into spreadsheets, the old Monday ritual. Instead, just one question: “What’s the most urgent thing to fix?”
And the answer came back — naturally, conversationally. A prioritized list. Pages affected. Code examples. A plain-language guide on how to fix it. Sasha sat up. That was new.
Except this isn’t science fiction. This is now.
Introducing the Rocket Validator MCP Server (Public Beta)
We're excited to announce that our MCP Server integration is now available as a public beta. If you choose to enable it, it lets you connect your Rocket Validator account to AI assistants like Claude.ai through the Model Context Protocol — an open standard that lets AI tools access external data sources you explicitly share with them.
In practical terms, this means you can talk to your accessibility and HTML validation data the way you’d talk to a colleague — in your own language, whether that’s English, Spanish, Portuguese, or anything else Claude understands. No query language. No clicking through dozens of report pages. No API documentation. Just ask what you need to know, and get instant, meaningful answers.
What can you actually do with it?
Think of it as choosing to share your Rocket Validator reports with your AI assistant. Once connected, you can ask things like:
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“Which of our sites needs the most attention right now?” — and get an answer that considers issue count, severity, and trends across all your reports from the past month.
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“What’s the quickest win I can tackle today?” — and get a prioritized fix with affected pages, example code, and a step-by-step guide.
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“Run an accessibility report on our staging site and compare it to production” — and have Claude create new reports on your behalf, wait for results, and deliver a side-by-side analysis.
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“How are our accessibility scores trending across all client sites?” — and get a summary ready for your Monday stakeholder meeting.
When you enable the connection, Claude can work with your full set of Rocket Validator tools: reports, web pages, common HTML and accessibility issues, page-level issues with code snippets and line numbers, HTML and accessibility guides, schedules, mutings, and device viewports. If you also grant write permissions, it can create new reports and recheck pages after you (or Claude Code) has fixed them.
See it in action
Here are two real conversations showing the MCP integration at work:
Prioritizing fixes from a real report — Starting from a report on github.blog, Claude identifies the most urgent accessibility issue, finds an affected page, shows the actual code causing the problem, and builds an action plan to fix it. Read the prioritization conversation.
Comparing accessibility across device viewports — Claude creates three accessibility reports for github.blog using small, medium, and large viewports, waits for the results, and summarizes which issues are common across all devices and which only appear at certain screen sizes. Read the viewport comparison conversation.
Going all green with Claude Code — Beta tester Hec Perez pointed Claude Code at YouCongress, a liquid democracy platform for polls with verifiable quotes, with a simple instruction: find all HTML and accessibility errors via Rocket Validator's MCP and fix them. After a few runs — all green. Read how Claude fixed YouCongress
Built for the whole team, not just developers
One of the things we’re most excited about is how this opens up new possibilities beyond engineering.
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QA managers who used to spend hours pulling data from multiple reports can now get a weekly summary in seconds. “Show me how accessibility scores changed across all client sites this week” replaces a two-hour Monday morning ritual.
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Developers inheriting unfamiliar codebases get an instant roadmap. Instead of drowning in a sea of violations, they can ask for the highest-impact fixes first and work through them methodically with AI-assisted guidance.
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Marketing teams can run competitive accessibility analyses that would have taken days to compile manually. “Compare our accessibility to our top three competitors” becomes a single conversation that produces a compelling narrative for investor decks or public commitments.
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QA engineers testing responsive designs can ask Claude to create reports across different device viewports and compare the results, catching mobile-only accessibility issues that desktop testing misses entirely.
How it works
Setup takes about two minutes:
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In Claude.ai or Claude Desktop, go to Settings → Connectors and add a custom connector with the URL
https://rocketvalidator.com/mcp/server. - When you start a conversation using the connector, authorize the connection with your Rocket Validator account (this only happens once).
- Start asking questions.
That’s it. No SDK to install. No endpoints to memorize. No authentication tokens to juggle.
Your data is secured through the OAuth 2.0 standard, and you’re always in control. You decide whether to grant read-only access or also allow write access for creating reports and rechecking pages. Claude cannot delete anything from your account.
A quick note on requirements
You’ll need an active Rocket Validator Pro, Agency, or Enterprise subscription, and a Claude Pro, Max, or Team plan (MCP Connectors aren’t available on Claude’s free tier). If you don’t have a Rocket Validator account yet, you can start a free trial to explore.
Why we built this
Accessibility validation tools have always been good at finding problems. The hard part was never detection — it was making sense of the results. Sorting, filtering, prioritizing, explaining, and turning raw issue data into action plans. That’s the work that bogs teams down and makes accessibility feel like a burden instead of a practice.
We built the MCP integration because we wanted to offer another way to interact with your data — one that feels less like navigating a dashboard and more like having a conversation. Your reports, filters, and exports aren’t going anywhere. But when you want to ask “what should I fix first?” and get a real, contextualized answer, now you can.
Try it now
The MCP Server is in public beta and available to all Rocket Validator subscribers on Pro plans and above. We’d love for you to try it and tell us what you think.
Head over to rocketvalidator.com/mcp for the full setup guide, example prompts, and a detailed overview of every tool included.
And if Sasha’s Monday morning sounded a little too familiar — give it a try. Your eight hundred issues aren’t going anywhere, but now you’ve got a much better way to start tackling them.
Talk to Your Accessibility Data Now