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.
Zero-dependency supplement pharmacokinetics modeler, elimination half-life decay tracker, competitive absorption conflict matrix evaluator, and optimal ingestion scheduler.
flowchart TD
OralDose[Compound Name, Dose mg, Elapsed Hours] --> PKModeler[One-Compartment Pharmacokinetic Modeler]
PKModeler --> ActiveDose[Active Plasma Circulating Level mg]
PKModeler --> WashoutCalc[95% Elimination & 99% Full Washout Latencies]
RegimenStack[Daily Supplement Stack & Timestamps] --> InteractionEngine[Transporter Competition Matrix]
InteractionEngine --> DMT1Filter[Divalent Cation Transporter Competition: Zn vs Fe vs Ca]
InteractionEngine --> LipidCheck[Lipophilic Bioavailability Micelle Validation]
InteractionEngine --> OptimizedSchedule[Staggered Chronobiological Regimen]Related MCP server: Personal Agent Glycemic Load Macro Balancer
from client import PersonalAgentSupplementPharmacokineticHalflife
agent = PersonalAgentSupplementPharmacokineticHalflife()
res = agent.model_compound_clearance_curve(compound_name="caffeine", dose_mg=200.0, time_elapsed_hours=6.0)
print(f"Active Plasma Dose: {res['active_circulating_dose_mg']} mg | 95% Clear: {res['hours_until_95pct_clearance']} hrs")Supplement safety for AI agents. 1,500+ rules, NIH+FDA data, quality grading A-D.
Supplement labels, doses against official upper limits, and a whole-stack check for overlaps.
Dietary supplement register: compositions, country upper limits, US prices, stack check vs limits.
PK serum simulation, reconstitution math and compound data for agents. Paid tools $0.01 via x402.