"Pix" matching MCP servers:

Enables AI-driven pharmacogenomic analysis by querying structured genetic variant, drug response, and disease risk data. Supports natural language questions about medications, traits, and health risks based on user genome data, with privacy-first local execution.

Enables deterministic calculation of cerebrovascular pulsatility and resistance metrics from peak systolic and end-diastolic velocities, along with microvascular compliance classification, through MCP JSON-RPC tools.

Enables real-time pharmacogenomics analysis, including variant clinical significance, drug-gene interactions, and dosing guidelines, by connecting to ClinVar, PharmGKB, gnomAD, and other databases.

Enables deterministic calculation of cerebral blood-flow pulsatility and resistive indices from peak systolic and end-diastolic velocities, with classification of microvascular resistance for agent workflows.

Enables evaluation of central aortic pulse wave reflections and ventricular afterload from applanation tonometry inputs, computing augmentation pressure, AIx, AIx@75, reflection time, and SEVR for personal vascular aging monitoring.