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 Transcranial Doppler Gosling Pulsatility Index (PI), Pourcelot Resistance Index (RI), and cerebral microvascular health.
flowchart TD
TCD_Probe["2 MHz Transcranial Doppler Ultrasound Probe"] --> VelocityWaveform["Cerebral Blood Flow Velocity Envelope (Vs, Vd, Vm)"]
VelocityWaveform --> IndexEquations["Gosling PI = (Vs-Vd)/Vm & Pourcelot RI = (Vs-Vd)/Vs"]
IndexEquations --> ResistanceScore["Cerebral Microvascular Compliance Engine"]
ResistanceScore --> Agent["OpenClaw / Hermes Personal Agent Actions"]Deterministic Math: Pure Python standard library implementation with zero external dependencies.
Clinical Neuro-Sonology Standards: Implements validated Gosling and Pourcelot hemodynamic formulas.
Microvascular Aging & Compliance Biomarker: Early detection of intracranial microvascular stiffening.
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
from client import CerebralPulsatilityIndexClient
client = CerebralPulsatilityIndexClient()
result = client.evaluate_cerebral_pulsatility(
peak_systolic_velocity_cm_s=98.0,
end_diastolic_velocity_cm_s=45.0
)
print("Gosling PI:", result["gosling_pulsatility_index_pi"])
print("Classification:", result["classification"])Apache-2.0
This server cannot be deployed
Physics-based validation of simulation results: receipts with per-check verdicts, via MCP.
MCP gateway federating 22 biomedical MCP servers behind one endpoint: gnomAD, ClinVar, HPO, VEP.
Remote MCP server for deterministic educational practice-assessment score conversions.
MCP server for progressive tool usage at any scale (see https://klavis.ai)