A
licenseNot graded
qualityB
maintenanceEnables modeling of ocular light exposure, forecasting melatonin suppression delays from digital screens, and generating timed digital-sunset schedules for sleep readiness.
7
MIT
Ocular Dark Adaptation Rod Intercept Time (RIT) Skill
by alphaparkinc
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.
Ocular Dark Adaptation Rod Intercept Time (RIT) Skill
Retinal Dark Adaptation Kinetics and Rod Intercept Time (RIT) Quantitative Evaluator based on scotopic psychophysical modeling.
flowchart TD
A[Post-Bleach Luminance Sensitivity Curve] --> B[Kohlrausch Bend Rod-Cone Break Detection]
B --> C[Rod Branch Exponential Deceleration]
C --> D[Standard Criterion Threshold Crossing]
D --> E[Rod Intercept Time RIT in Minutes]
E --> F[Retinoid Cycle & Bruch Membrane Health Guidance]Features
Zero PIP Dependencies: Implemented strictly with Python Standard Library (
math,json,sys,typing).Biphasic Retinal Modeling: Distinguishes cone photopic plateau from rod rhodopsin regeneration.
RIT Quantitation: Standard clinical dark adaptometry metric for early nyctalopia and macular screening.
Dual Architecture: Native Python import and Model Context Protocol (MCP) JSON-RPC 2.0 stdio server.
Related MCP server: vor-gain
Quickstart
python example_usage.pyLicense
Apache-2.0
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues
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