Cerebral Autoregulation & Transient Hyperemic Response Ratio (THRR) MCP Server
by Alpha-Park
README.md
# Cerebral Autoregulation & Transient Hyperemic Response Ratio (THRR) Skill
[](LICENSE)
[](https://www.python.org/)
[](requirements.txt)
[](mcp_server.py)
[](SKILL.md)
Zero-dependency sovereign personal agent skill for non-invasive evaluation of Transcranial Doppler (TCD) Transient Hyperemic Response Ratio (THRR), carotid compression velocity drops, and cerebral dynamic autoregulatory reserve.
```mermaid
flowchart TD
TCD_MCA["Baseline Transcranial Doppler MCA Mean Velocity (FV1)"] --> Compression["Transient Carotid Perfusion Dip (FV2, drop >= 25%)"]
Compression --> Release["Compression Release -> Reactive Hyperemia (FV3)"]
Release --> CalcTHRR["Transient Hyperemic Response Ratio (THRR = FV3 / FV1)"]
CalcTHRR --> ReserveScore["Dynamic Autoregulation & Arteriolar Dilatory Reserve"]
ReserveScore --> Agent["OpenClaw / Hermes Personal Agent Postural Guarding"]
```
## Features
- **Deterministic Math**: Pure Python standard library implementation with zero external dependencies.
- **Neurovascular Standards**: Implements validated equations for TCD flow velocities, compression drop percentage, and Giller THRR ratios.
- **Dynamic Autoregulation Screening**: Detects early loss of myogenic and endothelial arteriolar vasodilatory capacity.
- **Model Context Protocol (MCP)**: Native JSON-RPC tool integration for LLMs and autonomous agents.
## Quickstart
```python
from client import CerebralAutoregulationTHRRClient
client = CerebralAutoregulationTHRRClient()
result = client.evaluate_thrr(
baseline_flow_velocity_cm_s=62.0,
compression_flow_velocity_cm_s=40.0,
hyperemic_peak_flow_velocity_cm_s=78.5
)
print("THRR Ratio:", result["transient_hyperemic_response_ratio"])
print("Autoregulatory Score:", result["autoregulatory_reserve_score"])
print("Classification:", result["classification"])
```
## License
Apache-2.0
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