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.
概要
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
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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
Sign up at omophub.com → create an API key in your dashboard.
2. Add to Your AI Client
Open Claude Desktop settings > “Developer” tab > “Edit Config”. Add to claude_desktop_config.json:
{インストール
npx -y @omophub/omophub-mcp設定
{
"mcpServers": {
"omophub": {
"command": "npx",
"args": ["-y", "@omophub/omophub-mcp"],
"env": {
"OMOPHUB_API_KEY": "oh_your_key_here"
}
}
}
}