Overview

The Hana Compass API is an MCP (Model Context Protocol) server designed to streamline access to electronic health record (EHR) data and medical research resources through a single, unified interface. By exposing a consistent set of tools, prompts, and sampling capabilities, it eliminates the need for developers to write bespoke connectors or manage multiple third‑party APIs. Instead, an AI assistant can query patient data, retrieve research findings, and execute clinical workflows with the same simple, declarative commands that it would use for any other data source.

For developers building AI‑powered health applications, the server solves a critical pain point: interoperability. Health data is notoriously fragmented across disparate vendors and legacy systems, each with its own data model and authentication scheme. Hana Compass abstracts these complexities behind a standard MCP contract, allowing the assistant to request structured information—such as lab results, medication histories, or clinical trial eligibility criteria—without worrying about underlying HL7, FHIR, or proprietary formats. This abstraction not only speeds up development but also reduces the risk of integration bugs that can arise when stitching together multiple APIs.

Key capabilities include:

• Resource discovery: The server lists available EHR datasets, research repositories, and analytical tools, enabling the assistant to dynamically adapt its queries.
• Tool execution: Built‑in functions for data retrieval, transformation, and basic analytics (e.g., trend analysis of vital signs) are exposed as MCP tools, allowing the assistant to perform complex operations in a single step.
• Prompt customization: Developers can inject domain‑specific prompts that tailor the assistant’s responses to clinical guidelines or institutional policies.
• Sampling controls: Fine‑grained sampling parameters let the assistant decide how much data to pull, balancing performance with privacy constraints.

Real‑world use cases abound: a clinical decision support system can ask the assistant to pull a patient’s latest imaging reports and generate a risk score; a research platform can query the API for cohorts that match specific inclusion criteria, then trigger statistical analysis tools; or a patient portal can let users ask natural‑language questions about their medication regimen and receive concise, evidence‑based answers. In each scenario, the MCP server acts as a single point of truth, ensuring that the assistant’s outputs are accurate, compliant, and up‑to‑date.

Integrating Hana Compass into an AI workflow is straightforward. Once the MCP server is registered, the assistant automatically discovers its capabilities and can invoke them as part of a conversation or batch process. Because the server adheres to MCP’s standardized resource and tool contracts, it can be swapped out or extended with minimal friction—developers can add new data sources or analytics modules without retraining the assistant. This plug‑and‑play nature, combined with its focus on healthcare data interoperability, makes Hana Compass a standout solution for any project that needs reliable access to EHR and research information through an AI assistant.