F
licenseNot graded
qualityB
maintenanceEnables users to calculate chronotype-aligned sleep schedules, optimize 90-minute ultradian cycles, determine caffeine cutoffs, and plan light exposure for better recovery and circadian alignment.
7
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Personal Agent Allostatic Load Index Biomarker 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.
Personal Agent Allostatic Load Index Biomarker Skill
Zero-dependency Bruce McEwen multi-system physiological wear-and-tear indexer, cardiometabolic-neuroendocrine strain evaluator, and allostatic recovery modeler.
Architecture
flowchart TD
BiomarkerPanel[Biomarkers: BP, RHR, Glucose, Lipid Ratio, hs-CRP, HRV, RR] --> ALEngine[Allostatic Load Engine]
ALEngine --> SubsystemBreakdown[4 Subsystems: Cardio, Metabolic, Inflammatory, Autonomic]
SubsystemBreakdown --> Scoring[0-10 Normalized Allostatic Load Index]
Scoring --> VulnerabilityID[Primary Vulnerable Subsystem Identification]
VulnerabilityID --> PrescriptiveAction[Targeted Systemic Protocol]
Scoring --> TrajectorySimulator[12-Week Homeostatic Recovery Projection]Related MCP server: Personal Agent Sleep Debt Repayment Planner
Quickstart
from client import PersonalAgentAllostaticLoadIndexBiomarker
agent = PersonalAgentAllostaticLoadIndexBiomarker()
res = agent.calculate_allostatic_load_index({
"systolic_bp": 135.0, "fasting_glucose": 105.0, "hs_crp": 2.5, "rmssd_hrv": 22.0
})
print(f"AL Index: {res['allostatic_load_index_10']}/10 | Vulnerability: {res['primary_vulnerable_subsystem']}")This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues
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