openfda

FAERS Adverse Reaction Events database and OpenFDA API

LLM agent to generate workflow UML diagrams

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.

An R package for the openFDA API (https://open.fda.gov/apis)

Labinator Medical Drugs Explorer is designed to pull drugs' information using the openFDA API based on the user's query.

🩺 Convert openFDA device data from JSON files to tables and store in a database

OpenFDA BigData Pipeline enables collection, processing, and real-time presentation of data - on adverse drug events from the openFDA database

R package to access openFDA API (https://open.fda.gov/apis)

Node.js/Express backend for SymptomPulse. Manages symptom/medication data, integrates Open FDA API, and handles JWT authentication. Built with TypeScript, MySQL, and Prisma ORM for robust data modeling.

Forensic biopharma catalyst auditor — 10-tool MCP server that cross-references CT.gov, SEC EDGAR, openFDA, PubMed & Yahoo Finance to return a single deterministic verdict (CLEAN / BEAR_SIGNAL / BLACK_FLAG).

MAUDEMetrics: Open-source no-code desktop app (macOS, Windows) and Docker service for automated extraction and standardization of FDA MAUDE medical device adverse event data via the openFDA API. Bypasses the 26,000-record limit and produces reproducible, analysis-ready datasets — no programming required.

Query FDA data on drugs, food, devices, and recalls via openFDA. STDIO or Streamable HTTP.

Rank aggregated signal detection for VAERS data

Family Health Doctor — AI Medical Assistant Skill / 家庭保健医生 · AI医疗助手 / ファミリーヘルスドクター · AI医療アシスタント

openFDA API usage within VBA framework

OpenFDA JSON-LD @contexts https://westurner.org/openfda-jsonld-testing/

Ruby wrapper for the openFDA API

Pedix is a cloud-based AI health assistant that helps parents and caregivers find the right care pathway for a child’s symptoms. It focuses on urgency assessment, care guidance, and preparation-not diagnosis.

MCP server for FDA data: drug approvals, recalls, adverse events, 510(k) device clearances. Wraps openFDA.