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MCP Server for AWS HealthLake (Mocked)

@anandkiran2007

基本情報

カテゴリ

クラウドとインフラ

トランスポート

stdio

作者

anandkiran2007

MCP Server for AWS HealthLake について

概要はまだありません

MCP Server for AWS HealthLake の設定

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"
      ]
    }
  }
}

MCP Server for AWS HealthLake のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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

よくある質問

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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