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MCP Server for AWS HealthLake (Mocked)

@anandkiran2007

Repository

Basic information

Category

Cloud & Infrastructure

Transports

stdio

Author

anandkiran2007

About MCP Server for AWS HealthLake

No overview available yet

#mcp-server#aws-healthlake#mock-server

MCP Server for AWS HealthLake config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "ahl-mcp-server": {
      "command": "python3",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

MCP Server for AWS HealthLake tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is 🏥 MCP Server for AWS HealthLake (Mocked)?

This is an open-source Model Context Protocol (MCP) server that connects to (mocked) AWS HealthLake data sources and provides structured, standardized context bundles for clinical models.

How to use 🏥 MCP Server for AWS HealthLake (Mocked)?

Clone the repository, create a Python virtual environment, install dependencies with pip install -r requirements.txt, and run the server locally with uvicorn app.main:app --reload. By default the server runs in mock mode; set the environment variable USE_AWS=true to prepare for future AWS integration (AWS mode is not yet implemented). Access the interactive documentation at http://localhost:8000/docs.

Key features of 🏥 MCP Server for AWS HealthLake (Mocked)

  • Mocked AWS HealthLake APIs based on FHIR
  • Context bundling per MCP spec (FHIR + NLP)
  • Model registration and tailored context delivery
  • Mocked model invocation endpoint
  • Audit logging
  • Optional USE_AWS flag for future AWS integration

Use cases of 🏥 MCP Server for AWS HealthLake (Mocked)

  • Providing structured context bundles for clinical model predictions
  • Registering models and retrieving tailored patient context
  • Testing MCP workflows without incurring real AWS costs
  • Prototyping and validating FHIR-based integrations with HealthLake
  • Simulating patient data (conditions, medications, observations) for development

Frequently asked questions

1

What is the default mode of operation?

The server runs in mock mode by default, using mocked AWS HealthLake APIs. Real AWS integration is not yet implemented.

2

How can I prepare for real AWS integration?

Set the environment variable `USE_AWS=true` to switch to AWS mode. Note that AWS mode is not implemented yet but the infrastructure is ready for integration.

3

What FHIR endpoints are available for testing?

Mock endpoints include `POST /ahl/Patient`, `GET /ahl/Patient/{id}`, and `GET` endpoints for Condition, MedicationRequest, and Observation. You can also add mock data via `/ahl/mock/add_*` endpoints.

4

How can I run the tests?

Run `pytest tests/` from the project root.

5

What is the license?

The project is licensed under the MIT License.

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