"Event Store" matching MCP servers:

An MCP server that gives LLMs live access to clinical trials, FDA drug recalls, adverse-event reports, drug labels, and drug-name normalization via six validated tools.

Enables analysis of clinical trial protocols using MCP tools for document listing, entity extraction, adverse event clustering, and summarization.

Enables querying the openFDA drug adverse event database for pharmacovigilance work-ups: case searches, counts and demographic/outcome breakdowns, disproportionality measures (ROR/PRR with Mantel-Haenszel adjustment), and empirical Bayes (MGPS/EBGM) signal scores, including bulk screening and stratification by sex, age, or year alongside confounder-adjusted analyses.

A Model Context Protocol (MCP) server for querying drug information from the OpenFDA API. Features Retrieve drug label information by brand name Retrieve drug information by generic (active ingredient) name Get all brand versions of a generic drug Get adverse event (side effect) reports for a drug

Enables LLMs to search FDA drug labels and adverse event data via the OpenFDA API, supporting natural language queries for drug safety information.

An MCP server that interacts with the ClinicalTrials.gov API v2 to perform drug safety assessments and adverse event comparisons. It enables users to search for clinical trials, retrieve detailed study information, and analyze safety profiles across various medications and control groups.

Enables searching FDA adverse-event reports for animal drugs, summarizing side effects by species, checking pet food and veterinary drug recalls, and finding nearby pet services from OpenStreetMap.

Access to 1000 Genomes Project dataset, hosted online in Dnaerys variant store

Searches medical literature, clinical trials, drug labels, and adverse-event reports via official public APIs, returning structured records with source URLs and timestamps.

Enables AI agents to query pre-aggregated VAERS vaccine adverse event report counts by vaccine, manufacturer, symptom, year, and severity, plus coverage metadata about the loaded dataset. Every response is count-only and carries an explicit non-causality disclaimer, so report volumes can be explored without being mistaken for confirmed safety signals.

Enables AI agents to access FDA and ClinicalTrials.gov data for medical device compliance, adverse event monitoring, and regulatory due diligence.