Server data from the Official MCP Registry
See a color or image as a colorblind person does; recolor images and make Ishihara plates.
About
See a color or image as a colorblind person does; recolor images and make Ishihara plates.
Security Report
Valid MCP server (4 strong, 6 medium validity signals). No known CVEs in dependencies. ⚠️ Package registry links to a different repository than scanned source. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
18 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-vince-gonzalez-colorblind": {
"args": [
"-y",
"colorblind-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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║ your eyes, tested in the browser, with nothing leaving it ║
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An open, published method for color vision — and 17 vision tests built on it. Everything runs on the device. No account, no upload, no image ever sent anywhere.
The colorimetry is not a private formula: it is Machado, Oliveira & Fernandes (2009) deficiency simulation with CIEDE2000 color difference, published open access at doi.org/10.5281/zenodo.21310578, and shipped as packages so you can run the math yourself and check our numbers against yours.
Use the engine
pip install cvdsafe # is this palette colorblind-safe?
npm install cvdsafe
import cvdsafe
cvdsafe.is_safe(["#d7191c", "#1a9641"]) # False — red and green collapse under deutan
npx cvdsafe "#d7191c" "#1a9641" # exits 2 if the palette is unsafe — CI-friendly
| what you want | package |
|---|---|
| Is this palette safe? | cvdsafe · npm + PyPI, with a CLI |
| Show me how it looks | cvdsim — recolors an image for protan/deutan/tritan |
| Give me safe colors | safepalette — Okabe–Ito, extended and verified |
| For matplotlib | cvdmaps — set_cycle() and you're safe |
| Make test plates | cvdplate · ishihara |
| Acuity math | logmar — logMAR ↔ Snellen ↔ decimal |
| One deficiency | protan · deutan · tritanopia · dichromacy · achromatopsia · trichromacy |
For LLM tools: cvdsafe-mcp and colorblind-mcp are MCP servers, listed in the official
Model Context Protocol registry — so an assistant can check a palette or generate an Ishihara
plate as a native tool.
The tests
Color vision, D-15 arrangement, hue discrimination, anomaloscope-style matching, contrast sensitivity, acuity, astigmatism, Amsler grid, blind spot, vernier alignment, flicker fusion, saturation, dominance, reaction, stereo depth, digital eye strain, and a shape-based test for kids.
A test on a web page cannot be a diagnosis: an uncalibrated display, ambient light and viewing distance all move the result. Each test says so where it reports, and points at an eye examination rather than standing in for one.
Audit it yourself. opticquiz.com/methodology answers the eight questions worth asking of any online vision test — who made it, what it measures, what it assumes about your screen, whether it has been clinically validated (it has not), what it cannot measure, and who pays for it.
Also in here
Translations (de, es, fr, hi, it, pt, zh), a browser extension (reviewed and listed by Mozilla),
a VS Code extension, a Figma plugin, an embeddable widget, and the research notes behind the
plate colors under research/.
MIT licensed. Issues and corrections welcome — if a number here disagrees with yours, that is a bug worth reporting.
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║ ╚═╝ ╚═╝ ╚═╝╚══════╝ ╚═╝ ╚══════╝ ║
║ ║
║ · C R E A T I V E · ║
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║ ──────────────────────────────────────── ║
║ ║
║ Vincent Gonzalez ║
║ f-keys.com ║
║ ORCID 0009-0005-3640-014X ║
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Part of F-Keys — independent hardware, software and internet products. See the working log and live status.
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