trackmcp
Back to directory

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

14 stars PythonAI & Machine Learning Updated Oct 17, 2025
ai-agentshealthcaremcp-serverohdsiomop-cdm

No README could be loaded. View the project on GitHub for full documentation.

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

How do I install omop_mcp?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is omop_mcp open source?

Yes — it is hosted on GitHub at https://github.com/OHNLP/omop_mcp and has 14 stars.

Related MCP tools

Run your own MCP server? See who uses it and what to fix.

Measure it with TrackMCP