A
licenseNot graded
qualityD
maintenanceTracks caffeine decay and predicts safe bedtimes using a half-life model. No external integrations needed, intake is passed as parameters.
MIT
Personal Agent Caffeine Adenosine Pharmacokinetics Skill
by Alpha-Park
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.
Personal Agent Caffeine Adenosine Pharmacokinetics Skill
Zero-dependency two-compartment caffeine elimination pharmacokinetic modeler, adenosine A1/A2A receptor occupancy calculator, and sleep-architecture-safe intake scheduler.
Architecture
flowchart TD
Doses[Dose Amount, Hour, CYP1A2 Phenotype] --> ClearanceModel[Two-Compartment Pharmacokinetic Engine]
ClearanceModel --> BedtimeResidual[Circulating Bedtime Residual mg]
BedtimeResidual --> AdenosineModel[Adenosine A1/A2A Receptor Occupancy]
AdenosineModel --> SleepPenalty[Slow-Wave Deep Sleep Suppression %]
SleepSchedule[Wake Time & Bedtime] --> CutoffScheduler[Optimal Intake Window & Cutoff Scheduler]Related MCP server: genpark-personal-sleep-recovery-chronotype-coach-skill
Quickstart
from client import PersonalAgentCaffeineAdenosinePharmacokinetics
agent = PersonalAgentCaffeineAdenosinePharmacokinetics()
res = agent.simulate_caffeine_clearance([{"hour": 8.0, "mg": 150.0}, {"hour": 14.0, "mg": 100.0}])
print(f"Bedtime Residual: {res['bedtime_circulating_residual_mg']} mg | SWS Penalty: {res['slow_wave_sleep_suppression_pct']}")This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues
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