Use AI Accessibility Scorer with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Know exactly where your product fails WCAG standards.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 4 capabilities
The complete AI Accessibility Scorer capability set.
These are the exact actions your AI can choose when you ask it to work with AI Accessibility Scorer.
01-04
4 capabilities in this set.
Part of 4 available through AI Accessibility Scorer.
- 01
Calculate feature score
Provides the primary high-level accessibility health assessment for a specific AI feature
- 02
Check navigation flow
Validates if the AI interaction patterns are usable via keyboard
- 03
Get compliance gaps
Retrieves a detailed list of specific failures against the selected WCAG standard
- 04
Analyze content description
Evaluates the quality of text descriptions generated by the AI for visual assets
Observed, not estimated
865ms average. Fast in production.
AI Accessibility Scorer is checked daily against the live service.
- Fastest day
- 749ms
- Slowest day
- 966ms
- 14-day trend
- Stable-1%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of AI Accessibility Scorer, so you can see the experience inside your AI.
It does not authenticate your account with AI Accessibility Scorer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
AI Accessibility Scorer Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_rV2BpIxzG7NdjZiOF2bymyAgpzUXW5625eSX7XqP/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — AI Accessibility Scorer capabilities are ready to use.
{
"mcpServers": {
"ai-feature-accessibility-scorer-mcp": {
"url": "https://edge.vinkius.com/vk_preview_rV2BpIxzG7NdjZiOF2bymyAgpzUXW5625eSX7XqP/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Who it's for
Built for the work AI Accessibility Scorer owners hand off.
Product Managers and UX Designers use this MCP to validate that new AI features meet WCAG standards before launch. Developers rely on it to get specific, actionable failure reports. Compliance officers use it to prove that the product is accessible to the widest possible audience.
- 01
UX Designer
Checks navigation flow and content descriptions to ensure the user experience is usable for all clients.
- 02
Product Manager
Gets a high-level feature score and compliance gaps to determine if a feature is ready for market.
- 03
Developer
Uses the capability to pinpoint specific technical failures and fix them before QA testing begins.
- 04
Compliance Officer
Generates reports proving adherence to WCAG standards for regulatory audits.
FAQ
Questions AI Accessibility Scorer owners ask.
- 01
Does this MCP only check for WCAG AA compliance?
The MCP analyzes compliance against WCAG standards. You can run checks to identify specific technical failures against the selected WCAG standard.
- 02
What kind of output do I get from the feature score?
The output is a high-level health assessment score, plus a list of specific compliance gaps that need attention.
- 03
Can I check if my AI-generated alt text is good enough?
Yes. The analyze_content_description capability evaluates the quality of text descriptions for visual assets, telling you if they are sufficient.
- 04
What is a 'focus trap' in this context?
A focus trap is a navigation issue where a user, using only a keyboard, gets stuck in a part of the interface and cannot tab out of it. The check_navigation_flow capability detects these.
- 05
Is this capability for general accessibility or specific AI features?
It is specialized for AI-driven software features. It provides diagnostic capabilities to evaluate the accessibility of AI interactions, not just static web pages.
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