OMOPHub/omophub-mcp
MCP server for OHDSI OMOP medical vocabularies. Search, map, and navigate 10M+ concepts (SNOMED, ICD-10, RxNorm, LOINC) from any AI agent.
<h1>OMOPHub MCP Server</h1>
<p> <strong>Medical vocabularies for AI agents.</strong><br/> Search, map, and navigate 5M+ OMOP concepts: SNOMED CT, ICD-10, RxNorm, LOINC, and more. Directly from Claude, Cursor, VS Code, or any MCP-compatible client. </p>
<p> <a href="https://www.npmjs.com/package/@omophub/omophub-mcp"></a> <a href="https://www.npmjs.com/package/@omophub/omophub-mcp"></a> <a href="https://github.com/OMOPHub/omophub-mcp/blob/main/LICENSE"></a> <a href="https://github.com/OMOPHub/omophub-mcp"></a> <a href="https://modelcontextprotocol.io"></a> </p>
<p> <a href="#quick-start">Quick Start</a> · <a href="#available-tools">Tools</a> · <a href="#example-prompts">Examples</a> · <a href="https://docs.omophub.com">Docs</a> · <a href="https://omophub.com">Website</a> </p>
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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:*
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