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
Sign up at dashboard.omophub.com.
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 |