OHNLP/omop_mcp

Overview

OHNLP/omop_mcp is a Model Context Protocol server that maps clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts using large language models. It provides a standardized interface for tools to query an LLM for concept mapping.

Best for

Best for
Developers integrating clinical terminology mapping into healthcare software using large language models

Use cases

• Integrating clinical NLP into healthcare applications
• Mapping free-text clinical notes to standardized OMOP codes
• Building a decision support tool that uses OMOP concept mapping

How to use

Tools exposed

• uv

Tested with

Claude Desktop

Example client config

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

Notes

OHNLP/omop_mcp is a Model Context Protocol server that maps clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts using large language models. It provides a standardized interface for tools to query an LLM for concept mapping.

35 stars on GitHub. Last updated 2026-05-11.

Use cases

• Integrating clinical NLP into healthcare applications
• Mapping free-text clinical notes to standardized OMOP codes
• Building a decision support tool that uses OMOP concept mapping

Pros

• Uses a standardized protocol (MCP) for tool integration
• Leverages LLMs for flexible mapping of varied clinical terms
• Open source and written in Python, easy to extend

Cons

• Requires running an LLM, which may be computationally expensive
• Mapping accuracy depends on the quality and training of the LLM
• Small community (35 stars) means limited support and documentation

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.