🏥 MCP Server for AWS HealthLake (Mocked)

Name: 🏥 MCP Server for AWS HealthLake (Mocked)
Author: anandkiran2007

@anandkiran2007

リポジトリ

🏥 MCP Server for AWS HealthLake (Mocked) について

概要はまだありません

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

基本情報

カテゴリ

クラウドとインフラ

ランタイム

python

トランスポート

stdio

公開者

anandkiran2007

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

FAQ from 🏥 MCP Server for AWS HealthLake (Mocked)

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.

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.

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.

How can I run the tests?

Run pytest tests/ from the project root.

What is the license?

The project is licensed under the MIT License.

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