omophub/omophub-mcp

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Medical vocabularies for AI agents. Search, map, and navigate 11M+ OMOP concepts: SNOMED CT, ICD-10, RxNorm, LOINC, and more. Directly from Claude, Cursor, VS Code, or any MCP-compatible client.

概览

Medical vocabularies for AI agents. Search, map, and navigate 11M+ OMOP concepts: SNOMED CT, ICD-10, RxNorm, LOINC, and more. Directly from Claude, Cursor, VS Code, or any MCP-compatible client. Quick Start · Tools · Examples · Docs · Website Working with medical vocabularies today means downloading multi-gigabyte CSV files, loading them into a local database, and writing SQL to find what you need. Every time. . No database setup, no CSV wrangling, no context switching. Just ask. - - Find OMOP concept IDs for clinical terms in seconds - - Map between ICD-10, SNOMED, RxNorm, LOINC, and 120+ vocabularies - - Explore ancestors and descendants for phenotype definitions - - Let your AI agent assemble complete concept sets for cohort definitions - - Verify medical codes and check their standard mappings Sign up at omophub.com → create an API key in your dashboard. Open Claude Desktop settings > "Developer" tab > "Edit Config". Add to claude_desktop_config.

README

以下为原文 README 节选，完整内容请查看原文。

OMOPHub MCP Server

Medical vocabularies for AI agents. Search, map, and navigate 11M+ OMOP concepts: SNOMED CT, ICD-10, RxNorm, LOINC, and more. Directly from Claude, Cursor, VS Code, or any MCP-compatible client.

Quick Start · Tools · Examples · Docs · Website

Why OMOPHub MCP?

Working with medical vocabularies today means downloading multi-gigabyte CSV files, loading them into a local database, and writing SQL to find what you need. Every time.

OMOPHub MCP Server gives your AI assistant instant access to the entire OHDSI ATHENA vocabulary. No database setup, no CSV wrangling, no context switching. Just ask.

You: "Map ICD-10 code E11.9 to SNOMED"

Claude: Found it - E11.9 (Type 2 diabetes mellitus without complications)
        maps to SNOMED concept 201826 (Type 2 diabetes mellitus)
        via standard 'Maps to' relationship.

Use cases:

Concept lookup - Find OMOP concept IDs for clinical terms in seconds
Cross-vocabulary mapping - Map between ICD-10, SNOMED, RxNorm, LOINC, and 120+ vocabularies
Hierarchy navigation - Explore ancestors and descendants for phenotype definitions
Concept set building - Let your AI agent assemble complete concept sets for cohort definitions
Code validation - Verify medical codes and check their standard mappings

Quick Start

1. Get an API Key

2. Add to Your AI Client

Open Claude Desktop settings > “Developer” tab > “Edit Config”. Add to claude_desktop_config.json:

在 GitHub 查看完整 README

安装

npx -y @omophub/omophub-mcp

新手？先看 mcpskill.org 教程 →

配置

{
  "mcpServers": {
    "omophub": {
      "command": "npx",
      "args": ["-y", "@omophub/omophub-mcp"],
      "env": {
        "OMOPHUB_API_KEY": "oh_your_key_here"
      }
    }
  }
}