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 AI agents to query clinical genomics databases, retrieve supporting literature, analyze population genetics, and visualize biological pathways.
A local-first MCP server that annotates whole-genome VCF files and lets you query pharmacogenomics, disease risk, and carrier status through natural language.
Provides AI-powered access to major biological databases for GWAS and bioinformatics research. Enables natural language queries for protein, gene, variant, pathway, and drug discovery analysis.
Integrates with EMRs like Cerner and Epic via FHIR to retrieve patient data, and provides medical research tools (PubMed, clinical trials, FDA) for clinical analysis.
Provides real-time access to medical data including drug interactions, ICD-10 codes, FDA adverse event reports, and clinical guidelines. It enables LLMs to query databases like openFDA, PubMed, and CMS for pharmaceutical and clinical information.
