OMOP MCP server

This is a helper that lets your AI map medical terms to OMOP concepts, which are the standard codes used to organize health data. It is handy if you work with clinical data and need plain words like a body temperature reading turned into the right code. You do not need to be a programmer, but someone on your team will set it up once.

What this MCP server does

You type a medical term or a short description, like a lab measurement or a condition. Your AI sends that to this helper, which searches the OMOP vocabulary for matching concepts. The helper comes back with the best match, including the concept ID, the code, the name, and which vocabulary it came from. Your AI then shows you that answer in the chat, so you can copy the code into your data work.

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What you can do with it

• Map a free-text medical term to a standard OMOP concept
• Search the OMOP vocabulary for a concept by name
• Map many terms at once from a CSV file
• Pick the right vocabulary for the domain, like LOINC for measurements or SNOMED for conditions
• Look up live OMOP documentation while you work
• Get a short reason for why a concept was chosen

Try asking your AI

• “Map Temperature Temporal Scanner - RR for measurement_concept_id in the measurement table”
• “What OMOP concept matches the term type 2 diabetes?”
• “Find the LOINC concept for body temperature measured at the temporal artery”
• “Map all the terms in my conditions.csv file to OMOP concepts”

What it gives back to you

You get a short block of details in the chat: the concept ID, the code, the name, the class, the domain, and the vocabulary it came from. It also gives a one-line reason for the match and a link to view the concept. For batch work, you get the same details for each term in your file.

Before you start

Who it's for

People who work with clinical or health data, like data analysts, informaticists, and research staff who standardize medical terms.