Introduction of MCP Server for Google Cloud Healthcare API Integration
Google Cloud Healthcare API용 MCP 서버 - Glama
Summary
Kartha-AI has released an MCP (Model Context Protocol) server designed to interact with FHIR resources from public medical research APIs, such as Google Cloud Healthcare API and PubMed. This enables comprehensive access to various clinical and research data.
Details
This MCP server is built for clients like Claude and Goose, aiming to handle FHIR resources from the Google Cloud Healthcare API and public medical research APIs like PubMed. It is an enhanced version of the AgentCare MCP Server, notable for communicating with the Google Cloud Healthcare FHIR API via a SmartonFHIR gateway protected by Firebase authentication. The suite of tools provided is extensive, enabling comprehensive data retrieval ranging from patient identification (name, DOB) to vital signs, lab results, medication history, allergies, clinical encounters, and care plans. Furthermore, it includes research functionalities such as searching PubMed articles, finding related clinical trials, and checking drug interactions. Users can retrieve patient data using tools like `find_patient` and execute custom FHIR queries with `clinical_query`. These capabilities support AI agents in collecting and analyzing necessary information integrated from multiple medical data sources, contributing to advanced clinical decision support and research automation. The documentation provides setup instructions via Smithery and local environment setup using MCP Inspector, making adoption easy for developers. This serves as a crucial foundation for linking AI agents with standard medical data standards (FHIR).
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