Omop MCP

Community Health

Map clinical terminology to OMOP concepts using LLMs for healthcare data standardization and interoperability.

What can you do with Omop MCP?

  • Mapping clinical terminology: Intelligent mapping of free-text terms to standardized OMOP concepts.
  • Vocabulary Search: Direct access to OMOP vocabulary via find_omop_concept.
  • Batch Processing: Tool for mapping multiple concepts from a CSV file.
  • Preferred Vocabularies: Automatic domain-specific vocabulary prioritization (e.g., LOINC for measurements, SNOMED for conditions).
  • Live Documentation: Resource access to live OMOP CDM documentation.

Install

The installation steps are in the documentation below. Documentation

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. OMOP MCP Server
  2. Demo Website
  3. Overview
  4. Features
  5. Usage Example
  6. Contributing
  7. Citation Policy
  8. License

OMOP MCP Server

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.

Demo Website

Overview

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.

Installation

Before configuring the MCP server, ensure you have:

  1. uv installed on your system
  2. Clone the repository
     git clone https://github.com/OHNLP/omop_mcp.git
     cd omop_mcp
  3. Set up environment variables

    Copy .env.template to .env and fill in your API credentials. You will need both an LLM provider key and an OMOPHUB_API_KEY (for vocabulary lookups).

     cp .env.template .env
Configuration for Claude Desktop

Add the following configuration to your claude_desktop_config.json file:

Location:

  • MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%/Claude/claude_desktop_config.json

Configuration:

Replace <path-to-local-repo> with the actual path to your cloned repository.

{
  "mcpServers": {
    "omop_mcp": {
      "command": "uv",
      "args": ["--directory", "<path-to-local-repo>", "run", "omop_mcp"]
    }
  }
}

Features

The OMOP MCP server provides tools and resources for:

  • Mapping clinical terminology: Intelligent mapping of free-text terms to standardized OMOP concepts.
  • Vocabulary Search: Direct access to OMOP vocabulary via find_omop_concept.
  • Batch Processing: Tool for mapping multiple concepts from a CSV file.
  • Preferred Vocabularies: Automatic domain-specific vocabulary prioritization (e.g., LOINC for measurements, SNOMED for conditions).
  • Live Documentation: Resource access to live OMOP CDM documentation.

Usage Example

The agent is most effective when you provide context such as the OMOP table or field name.

Prompt:

Map `Temperature Temporal Scanner - RR` for `measurement_concept_id` in the `measurement` table.

Response Example:

CONCEPT_ID: 46235152
CODE: 75539-7
NAME: Body temperature - Temporal artery
CLASS: Clinical Observation
CONCEPT: Standard
VALIDITY: Valid
DOMAIN: Measurement
VOCAB: LOINC
REASON: This LOINC concept specifically represents body temperature measured at the temporal artery.
URL: https://omophub.com/concepts/46235152

Contributing

See CONTRIBUTING.md for guidelines to contribute to the project.

Citation Policy

If you use this software, please cite the pre-print at arXiv (cs.AI) below:

An Agentic Model Context Protocol Framework for Medical Concept Standardization

License

This project is licensed under the Apache License 2.0. See LICENSE file for details.

Contact: jaerongahn@gmail.com

Frequently asked questions

What is Omop MCP?

Map clinical terminology to OMOP concepts using LLMs for healthcare data standardization and interoperability.

How do I install Omop MCP?

Follow the installation steps in its documentation, shown on this page and in its repository.

Is Omop MCP open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains Omop MCP?

It is published by OHNLP. AI.tn lists it but does not maintain or endorse it.

From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.