fastomop/omcp
Model Context Protocol Server for the Observational Medical Outcomes Partnership (OMOP) Common Data Model
This tool helps healthcare researchers and data scientists use AI models to analyze observational health data. It takes complex patient records formatted in the OMOP Common Data Model and makes them accessible to AI applications, allowing for advanced querying and analysis to uncover insights. It's designed for those working with large-scale clinical datasets.
Use this if you need to connect AI models to your OMOP-formatted healthcare data for research or analytical purposes.
Not ideal if you are working with healthcare data not structured in the OMOP Common Data Model, or if you don't require AI model integration.
Stars
24
Forks
9
Language
Python
License
MIT
Category
Last pushed
Jan 12, 2026
Commits (30d)
0
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