A
licenseNot graded
qualityB
maintenanceCalculates Karvonen heart-rate corridors, estimates VO2max, models fat oxidation kinetics, and prescribes weekly mitochondrial longevity volume from biometrics and current aerobic activity.
7
MIT
Personal Agent Cardiorespiratory VO2Max Velocity 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 Cardiorespiratory VO2Max Velocity Skill
Zero-dependency Uth heart rate ratio VO2max estimator, Cooper 12-minute run converter, ACSM longevity hazard ratio indexer, and cardiorespiratory fitness biological age modeler.
Architecture
flowchart TD
HeartRateInput[Resting HR bpm & Max HR bpm] --> UthEngine[Uth Heart Rate Ratio Modeler]
UthEngine --> VO2MaxHR[VO2max mL/kg/min: 15.3 * HRmax / HRrest]
CooperInput[12-Minute Run Distance Meters] --> CooperEngine[Kenneth Cooper Field Test Formula]
CooperEngine --> VO2MaxCooper[VO2max mL/kg/min: d12 - 504.9 / 44.73]
VO2MaxHR & VO2MaxCooper --> AgeStratifier[ACSM Age & Sex Median Benchmark Matrix]
AgeStratifier --> BiologicalFitnessAge[Cardiorespiratory Biological Age Offset]
AgeStratifier --> MortalityHazard[JAMA All-Cause Mortality Hazard Ratio]Related MCP server: Personal Agent Allostatic Load Index Biomarker Skill
Quickstart
from client import PersonalAgentCardiorespiratoryVo2MaxVelocity
agent = PersonalAgentCardiorespiratoryVo2MaxVelocity()
res = agent.estimate_vo2max_from_heart_rate_ratio(resting_hr_bpm=54.0, max_hr_bpm=185.0, age=42)
print(f"VO2max: {res['estimated_vo2max_ml_kg_min']} mL/kg/min | Fitness Age: {res['biological_cardiorespiratory_age']} yrs")This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues
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