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 sovereign personal agent skill for non-invasive evaluation of Single-Breath Nitrogen Washout (SBN2) Closing Volume (CV), Closing Capacity (CC), and early peripheral small airway closure.
flowchart TD
InhaleO2["100% O2 Vital Capacity Inhalation from RV"] --> ExhaleWashout["Slow Exhalation Flow Rate (0.5 L/s)"]
ExhaleWashout --> AnthonisenPhases["Continuous N2 Concentration & Volume Tracing"]
AnthonisenPhases --> Phase3["Phase III Alveolar Slope (%N2/L)"]
AnthonisenPhases --> Phase4["Phase IV Inflection Point (Closing Volume CV)"]
Phase3 & Phase4 --> SmallAirwayEngine["Small Airway Patency & Ventilation Heterogeneity Score"]
SmallAirwayEngine --> Agent["OpenClaw / Hermes Personal Agent Interventions"]Deterministic Math: Pure Python standard library implementation with zero external dependencies.
Pulmonary Physiology Standards: Implements validated equations for Closing Volume percentage, Closing Capacity, and age-predicted reference intervals.
Small Airway Disease Detection: Highly sensitive detection of bronchiolar collapse before changes in $FEV_1$ or $FVC$.
Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.
Related MCP server: Forced Oscillation Technique (FOT / IOS) MCP Server
from client import PulmonaryClosingVolumeClient
client = PulmonaryClosingVolumeClient()
result = client.evaluate_closing_volume(
vital_capacity_l=4.8,
closing_volume_l=0.62,
residual_volume_l=1.35,
phase3_slope_pct_n2_per_l=1.1,
age_years=28
)
print("Closing Volume %:", result["cv_vc_pct"], "%")
print("Small Airway Score:", result["small_airway_score"])
print("Classification:", result["classification"])Apache-2.0
This server cannot be deployed
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