Search and retrieve FHIR resources from Azure Health Data Services using specific parameters, facilitating efficient healthcare data management and analysis.
Recommends technology stacks with frameworks, styling approaches, animation libraries, and deployment options based on interface type and design requirements.
Validates and writes FHIR healthcare data resources to a compliant server, handling endpoint routing and returning validation or server errors for correction.
Assess the health and availability of documentation sources for programming libraries and frameworks. Returns a dictionary with the status of each library's documentation site.
A TypeScript-based MCP server that connects to FHIR servers, allowing access to healthcare data via fhir:// URIs and providing search capabilities for FHIR resources.
A comprehensive Model Context Protocol server that provides universal access to multiple FHIR servers with AI-powered clinical analysis capabilities for healthcare data integration and patient care planning.
A Model Context Protocol server that connects AI tools to Electronic Health Records using SMART on FHIR, allowing secure searching, querying, and analysis of patient data from compatible EHRs.