vince-gonzalez/opticquiz-mcp

**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):
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