
Open MCP server for global pharmacovigilance insights and hypothesis generation
Visit hypokratesHypokrates is an open-source MCP (Model Context Protocol) server and Python library that democratizes access to global pharmacovigilance and drug safety data. It normalizes, cross-references, and exposes 15 international drug safety and biomedical datasets (including FAERS, JADER, Canada Vigilance, PubMed, DailyMed, DrugBank, ClinicalTrials.gov, OpenTargets, ChEMBL, and more) for use by AI language models and assistants. Hypokrates provides 47 tool endpoints for querying adverse event signals, generating novel medical hypotheses, evidence gathering, automated drug-event scanning, and demographic stratification, making advanced hypothesis generation and drug signal discovery available to clinicians, researchers, data scientists, and healthcare professionals worldwide. This MCP server integrates with LLM clients such as Claude, Cursor, and other MCP-compatible assistants, allowing AI-driven medical research workflows and hypothesis generation over open public health data.
Visit hypokrates's official website for product details and getting started.