Open-source FHIR MCP Server, a tool that enables users to work with healthcare data using natural language-removing the need for in-depth FHIR expertise and reducing mistakes such as AI-generated code errors. Built on the Model Context Protocol, it integrates with AI clients like Claude, Cursor, and other MCP-compatible platforms. The server addresses key EHR integration challenges, including medical terminology validation, regulatory compliance, and clinical data accuracy. It supports full FHIR resource operations, automatic LOINC code validation, and semantic search across medical documents. With these features, developers can create applications that let clinicians query patient histories conversationally and build clinical decision support tools efficiently. Check it out on Momentum’s GitHub.
You’ll learn:
How FHIR MCP Server streamlines healthcare data access with natural language,
Which technical capabilities are included and how they address interoperability and compliance,
Practical examples of using conversational queries and rapid app development for healthcare,
What challenges in clinical data integration it helps overcome.
Read the full article and technical details here.
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