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.
A sovereign personal agent capability for computational CPET analysis, calculating the $\dot{V}_E / \dot{V}CO_2$ ventilatory equivalent slope, pulmonary dead space fraction, and V-slope anaerobic threshold.
flowchart TD
CPETData["CPET Timeseries: VE (L/min), VCO2 (L/min), VO2 (L/min)"] --> RegressionEngine["Linear Least-Squares Regression (VE vs VCO2)"]
RegressionEngine --> SlopeMetrics["VE/VCO2 Slope, Intercept & R² Correlation"]
CPETData --> VSlopeEngine["Beaver V-Slope Inflection Detection (Delta VCO2 / Delta VO2 > 1.0)"]
VSlopeEngine --> Threshold["Ventilatory Anaerobic Threshold (VAT / VT1)"]
SlopeMetrics & Threshold --> CREI["Cardiorespiratory Efficiency Index (0 - 100)"]
CREI --> AgentPrescription["OpenClaw / Hermes Zone 2 & Threshold Pacing Directives"]Related MCP server: Post-Exercise EPOC
from client import VentilatoryEfficiencyClient
client = VentilatoryEfficiencyClient()
# Incremental exercise gas exchange series
vco2 = [0.65, 0.95, 1.30, 1.70, 2.15, 2.60, 3.10]
ve = [18.2, 25.5, 34.0, 44.5, 56.0, 68.5, 82.0]
slope_res = client.calculate_ve_vco2_slope(ve, vco2)
print("VE/VCO2 Slope:", slope_res["ve_vco2_slope"])
print("Efficiency Index:", slope_res["cardiorespiratory_efficiency_index"], "/ 100")
print("Status:", slope_res["status"])Add to your claude_desktop_config.json or OpenClaw tool registry:
{
"mcpServers": {
"ventilatory-efficiency": {
"command": "python",
"args": ["/path/to/genpark-personal-agent-ventilatory-equivalent-ve-vco2-efficiency-skill/mcp_server.py"]
}
}
}MIT License.
This server cannot be deployed
Cardiopulmonary exercise test (CPET) analysis: ventilatory thresholds, metrics and substrate use.
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