AI agent onboarding for OMOP medical vocabularies

Why OMOPHub for AI?

LLMs are powerful reasoning engines, but they hallucinate clinical codes. OMOPHub provides the verification layer: a vocabulary API covering SNOMED CT, ICD-10, RxNorm, LOINC, and 100+ medical terminologies. Your AI agent extracts clinical meaning from text. OMOPHub grounds it in verified OMOP concept IDs. No fabricated codes, no “mostly right” in a setting where mostly right is dangerously wrong.

Prerequisites

Create an account

Generate an API key

Go to API Keys in your dashboard and create a new key.

Choose Your Integration Path

MCP Server

Connect OMOPHub to Claude, Cursor, VS Code, or any MCP-compatible AI client. Install in under a minute.

Docs for Agents

Feed your AI agent the right documentation format: llms.txt, llms-full.txt, or skill.md.

MCP Tools Reference

Detailed reference for all 6 MCP tools: parameters, descriptions, and example usage.

Integration Guide

Build grounded clinical AI pipelines with the OMOP-Loop pattern. Eliminate hallucinated codes in production.

What You Can Do

Capability	Description
Concept lookup	Find OMOP concept IDs for any clinical term in seconds
Cross-vocabulary mapping	Map between ICD-10, SNOMED, RxNorm, LOINC, and 100+ vocabularies
Hierarchy navigation	Explore ancestors and descendants for phenotype definitions
Concept set building	Let your AI agent assemble complete concept sets for cohort definitions
Code validation	Verify medical codes and check their standard mappings
Hallucination detection	Validate every LLM-generated concept ID against the OMOP source of truth

Overview

​Why OMOPHub for AI?

​Prerequisites

​Choose Your Integration Path