This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Cone Contrast Test (CCT) and Photoreceptor Contrast Sensitivity Analyzer based on Rabin cone isolation psychophysics.
flowchart TD
A[Cone-Isolating Contrast Thresholds: L, M, S] --> B[Logarithmic Score Transformation: 0 - 100]
B --> C[Compute Individual L, M, S Scores]
C --> D{Score Threshold >= 75?}
D -- All >= 75 --> E[Normal Trichromatic Photoreceptor Integrity]
D -- S-cone < 60 --> F[Acquired Tritan / Macular / Glaucoma Defect]
D -- L-cone < 60 --> G[Protan Selective Defect]
D -- M-cone < 60 --> H[Deutan Selective Defect]Zero PIP Dependencies: Implemented strictly with Python Standard Library (math, json, sys, typing).
LMS Psychophysics: Separates L, M, and S photoreceptor channels to detect subclinical maculopathies.
Rabin CCT Standardization: Maps raw thresholds to calibrated 0-100 diagnostic scores.
Dual Architecture: Native Python import and Model Context Protocol (MCP) JSON-RPC 2.0 stdio server.
Related MCP server: Visual Contrast Sensitivity (Pelli-Robson) Skill
python example_usage.pyApache-2.0
Contrast checks with fixes, OKLCH harmonies, palettes, color-blind previews and code export.
Solve, audit and simulate colorblind-safe chart palettes. WCAG contrast, OKLab ΔE. Read-only.
18 color tools: OKLCH, WCAG and APCA contrast fixes, palettes, gradients, color blindness, tokens.
Verified color tokens for AI coding agents: one brand hex in, WCAG/APCA-measured themes out.