omop_mcp

by OHNLP · MCP Server · ★ 34

About omop_mcp

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

ai-agentshealthcaremcp-serverohdsiomop-cdm

Quick Facts

Stars34
Forks6
LanguagePython
CategoryMCP Server
Quality Score42.2/100
Open Issues2
Last Updated2026-05-11
Created2025-05-06
Platformscli, mcp, python
Est. Tokens~65k

Compatible Skills

These tools work well together with omop_mcp for enhanced workflows:

  • MedAgents — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (56%)
  • llm-srbench — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (55%)
  • SimplerLLM — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (55%)
  • optipfair — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (55%)
  • AutoTools — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (55%)

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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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