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.
@anandkiran2007
基本情報
概要はまだありません
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。
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.
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.
USE_AWS flag for future AWS integrationThe server runs in mock mode by default, using mocked AWS HealthLake APIs. Real AWS integration is not yet implemented.
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.
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.
Run `pytest tests/` from the project root.
The project is licensed under the MIT License.

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