Opticquiz MCP
Color-vision accessibility: check palettes and images for colorblind safety, generate safe palettes, simulate color blindness and create Ishihara-style plates.
Install
The installation steps are in the documentation below. Documentation
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
OpticQuiz MCP servers
Two MCP servers that let an assistant check and see color the way a colorblind person does — built on a published, open-access color-vision method rather than a rule of thumb.
Both are listed in the official Model Context Protocol registry.
cvdsafe-mcp — check it
| tool | what it does |
|---|---|
checkPalette | Whether a set of colors stays distinguishable under protanopia, deuteranopia and tritanopia — with the conflicting pairs named |
checkImage | Extracts an image's dominant colors and flags the pairs that collapse, each weighted by how much of the image they cover. PNG + JPEG |
generateSafePalette | N colorblind-safe colors, seeded with Okabe–Ito. Never returns an unsafe one |
fixPalette | Repairs a failing palette, staying close to the originals |
checkContrast | WCAG contrast ratio, AA/AAA |
simulateColor | One color under a chosen deficiency |
colorblind-mcp — see it
| tool | what it does |
|---|---|
simulateImage | Recolors a PNG/JPEG the way a deficiency renders it, and returns the image |
plate | Generates an Ishihara-style pseudoisochromatic test plate and returns it |
compareVision | One color under all three deficiencies at once |
simulateColor | A single color under one deficiency, with severity |
Install
Add to claude_desktop_config.json (Settings → Developer → Edit Config):
{
"mcpServers": {
"cvdsafe": { "command": "npx", "args": ["-y", "cvdsafe-mcp"] },
"colorblind": { "command": "npx", "args": ["-y", "colorblind-mcp"] }
}
}Restart, then ask: "Is this palette colorblind-safe: #d7191c, #1a9641, #2166ac?" or "Show me ./dashboard.png the way a deuteranope sees it." Same config shape works in Cursor and other MCP clients.
The method
Colors are simulated with the Machado, Oliveira & Fernandes (2009) deficiency matrices and
compared with CIEDE2000. The method is published open access —
doi.org/10.5281/zenodo.21310578 — and the same engine
ships as installable packages (cvdsafe, cvdsim on PyPI and npm), so any answer these servers
give can be reproduced outside them.
Everything runs locally over stdio. Nothing leaves your machine; images are read from your disk and returned in the response.
Not a legal audit
These check one axis of accessibility — whether colors stay distinguishable under color-vision deficiency. That is not a full WCAG or ADA conformance audit, and passing does not make a product compliant.
Part of OpticQuiz · methodology & disclosure
Frequently asked questions
What is Opticquiz MCP?
Color-vision accessibility: check palettes and images for colorblind safety, generate safe palettes, simulate color blindness and create Ishihara-style plates.
How do I install Opticquiz MCP?
Follow the installation steps in its documentation, shown on this page and in its repository.
Is Opticquiz MCP open source?
Its code is public on GitHub, but the repository does not declare a standard license.
Who maintains Opticquiz MCP?
It is published by vince-gonzalez. AI.tn lists it but does not maintain or endorse it.
From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.