OHNLP/omop_mcp
Model Context Protocol (MCP) server for mapping clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts using Large Language Models
Implements an agentic framework that queries the OMOPHub API for vocabulary searches and concept suggestions, with domain-specific vocabulary prioritization (e.g., LOINC for measurements, SNOMED for conditions). Integrates with Claude Desktop via stdio transport and supports batch CSV processing for standardizing clinical terminology at scale. Provides contextual mapping by leveraging table/field metadata to improve concept disambiguation.
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34
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4
Language
Python
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Last pushed
Feb 19, 2026
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0
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