A production-grade, AI-native Model Context Protocol (MCP) server providing LLMs with comprehensive, intent-driven access to the entire openFDA API Ecosystem.
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Updated
Apr 12, 2026 - Python
A production-grade, AI-native Model Context Protocol (MCP) server providing LLMs with comprehensive, intent-driven access to the entire openFDA API Ecosystem.
Unified Python SDK for OpenFDA, PubMed, and ClinicalTrials.gov with clinical intelligence, interaction detection, and research tools.
Strategic analytics and competition prediction platform for pharmaceutical markets using OpenFDA data and Machine Learning (XGBoost/RandomForest).
Real-time drug safety intelligence API. Hybrid RAG combining live openFDA adverse events, PubMed literature, and a FAISS biomedical knowledge base — synthesized by Llama 3.3-70B via Groq.
An AI-powered clinical intelligence platform that combines live data from ClinicalTrials.gov, PubMed, and FDA drug labels with document-level reasoning over uploaded PDFs — built for pharmaceutical professionals who need to move from question to insight in minutes, not hours.
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