Cerebral Tissue Oxygenation NIRS rSO2 MCP Server
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.
Frontal Cerebral Regional Tissue Oxygenation (NIRS rSO2) Skill
Zero-dependency sovereign personal agent skill for non-invasive calculation of frontal cerebral tissue oxygen saturation (rSO2), Fractional Tissue Oxygen Extraction (FTOE), and cognitive endurance kinetics.
flowchart TD
FrontalNIRS["Multi-Wavelength Prefrontal NIRS Sensors"] --> BeerLambert["Modified Beer-Lambert HbO2/HbR Absorption"]
BeerLambert --> rSO2_FTOE["rSO2 Saturation & FTOE Extraction Modeling"]
rSO2_FTOE --> ReserveScore["Prefrontal Oxygenation Reserve Engine"]
ReserveScore --> Agent["OpenClaw / Hermes Personal Agent Actions"]Features
Deterministic Math: Pure Python standard library implementation with zero external dependencies.
NIRS Standard Equations: Implements validated spectroscopic equations for regional cerebral oxygenation.
Cognitive Exhaustion Stratification: Quantitative evaluation of microvascular supply vs demand in intense work.
Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.
Related MCP server: Cardiac Systolic Time Intervals (PEP/LVET) & Inotropy Skill
Quickstart
from client import CerebralTissueOxygenationClient
client = CerebralTissueOxygenationClient()
result = client.evaluate_cerebral_oxygenation(
frontal_rso2_pct=69.5,
systemic_spo2_pct=99.0,
baseline_rso2_pct=70.0
)
print("Frontal rSO2:", result["frontal_rso2_pct"], "%")
print("Classification:", result["classification"])License
Apache-2.0
This server cannot be deployed
Maintenance
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