- 🏥 MCP Server for AWS HealthLake (Mocked)
🏥 MCP Server for AWS HealthLake (Mocked)
Overview
What is MCP Server for AWS HealthLake?
MCP Server for AWS HealthLake is an open-source Model Context Protocol (MCP) server that connects to mocked AWS HealthLake data sources, providing structured and standardized context bundles for clinical models.
How to use MCP Server for AWS HealthLake?
To use the MCP Server, clone or download the repository, install the required Python dependencies, and run the server locally in mock mode. You can access the API documentation at http://localhost:8000/docs.
Key features of MCP Server for AWS HealthLake?
- Mocked AWS HealthLake APIs (FHIR-based)
- Context bundling per MCP specification (FHIR + NLP)
- Model registration and tailored context delivery
- Mocked model invocation endpoint
- Audit logging
- Optional
USE_AWSflag for future AWS integration
Use cases of MCP Server for AWS HealthLake?
- Testing and developing applications that require interaction with AWS HealthLake data.
- Simulating clinical model predictions and context retrieval without needing a live AWS environment.
- Facilitating research and development in healthcare data management and processing.
FAQ from MCP Server for AWS HealthLake?
- Is the MCP Server free to use?
Yes! The MCP Server is open-source and free to use for everyone.
- Can I integrate it with real AWS HealthLake?
Yes! The server is designed to be ready for future AWS integration with the
USE_AWSflag.
- What programming language is used?
The MCP Server is developed in Python.
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