omop_mcp

About omop_mcp

Model Context Protocol (MCP) server for mapping clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts using Large Language Models

ai-agents healthcare mcp-server ohdsi omop-cdm

Quick Facts

Stars	34
Forks	6
Language	Python
Category	MCP Server
Quality Score	42.5/100
Open Issues	2
Last Updated	2026-05-11
Created	2025-05-06
Platforms	cli, mcp, python
Est. Tokens	~65k

Compatible Skills

These tools work well together with omop_mcp for enhanced workflows:

SkillX — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)
KiraAI — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
medsci-skills — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
LightMem2 — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

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Frequently Asked Questions

What is omop_mcp?

omop_mcp is Model Context Protocol (MCP) server for mapping clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts using Large Language Models. It is categorized as a MCP Server with 34 GitHub stars.

What programming language is omop_mcp written in?

omop_mcp is primarily written in Python. It covers topics such as ai-agents, healthcare, mcp-server.

How do I install or use omop_mcp?

You can find installation instructions and usage details in the omop_mcp GitHub repository at github.com/OHNLP/omop_mcp. The project has 34 stars and 6 forks, indicating an active community.

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