omop_mcp

OHNLP/omop_mcp

★ 34 stars Python 🤖 AI/LLM Updated today

Model Context Protocol (MCP) server for mapping clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts using Large Language Models

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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "omop_mcp": {
      "command": "uvx",
      "args": [
        "omop-mcp"
      ]
    }
  }
}

Or install with pip: pip install omop-mcp

README Excerpt

Model Context Protocol (MCP) server for mapping clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts using Large Language Models (LLMs). The vocabulary API is supported by **OMOP HUB**, and you can obtain an API key from [omophub.com](https://omophub.com). This server provides an agentic framework to standardize medical terms into the OMOP Common Data Model (CDM). It uses the OMOPHub API for vocabulary searching, concept suggestion, and terminology mapping.

Topics

ai-agentshealthcaremcp-serverohdsiomop-cdm

omop_mcp

Quick Install

README Excerpt

Topics

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