Documentation Index
Fetch the complete documentation index at: https://docs.omophub.com/llms.txt
Use this file to discover all available pages before exploring further.
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 |