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 microvascular assessment, evaluating cutaneous laser Doppler flowmetry, sensory C-fiber axon reflexes, and endothelial nitric oxide capacity.
flowchart TD
LaserDoppler["Laser Doppler Flux (PU) & MAP (mmHg)"] --> CVC["Cutaneous Vascular Conductance (CVC = Flux / MAP * 100)"]
CVC --> Phase1["Initial Sensory Axon Reflex Peak (C-Fiber Neuropeptides)"]
CVC --> Phase2["Sustained Plateau (Endothelial Nitric Oxide / EETs)"]
Phase1 & Phase2 --> Metrics["Axon Ratio & %CVC_max Plateau"]
Metrics --> EMHS["Endothelial Microvascular Health Score (0 - 100)"]
EMHS --> AgentDirectives["OpenClaw / Hermes Cardiovascular & Dietary Nitrate Guidance"]Related MCP server: salivary-alpha-amylase
from client import CutaneousMicrocirculationClient
client = CutaneousMicrocirculationClient()
# Assess cutaneous local thermal hyperemia
res = client.evaluate_thermal_hyperemia(
baseline_flux_pu=16.0,
axon_peak_flux_pu=88.0,
plateau_flux_pu=152.0,
maximal_flux_pu=168.0,
mean_arterial_pressure_mmhg=92.0
)
print("%CVCmax Plateau:", res["pct_cvc_max_plateau"], "%")
print("Axon Reflex Ratio:", res["axon_reflex_ratio"], "x")
print("Microvascular Health Score:", res["endothelial_microvascular_health_score"], "/ 100")
print("Classification:", res["classification"])Add to your claude_desktop_config.json or OpenClaw tool registry:
{
"mcpServers": {
"cutaneous-microcirculation": {
"command": "python",
"args": ["/path/to/genpark-personal-agent-cutaneous-microcirculation-laser-doppler-skill/mcp_server.py"]
}
}
}MIT License.
This server cannot be deployed
Cardiopulmonary exercise test (CPET) analysis: ventilatory thresholds, metrics and substrate use.
Fuses biometric signals into a stress score (0-100) for AI adaptation. MCP + A2A native.
Fast, private multi-species diagnosis. Custom-trained models. No third-party AI or image retention.
Agent research API for 15 disease areas, plus a T1D cure lab, sourced evidence ledger and models.
