🏥 MCP Server for AWS HealthLake (Mocked)

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

@anandkiran2007

代码仓库

关于 🏥 MCP Server for AWS HealthLake (Mocked)

暂无概览

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

基本信息

分类

云与基础设施

运行时

python

传输方式

stdio

发布者

anandkiran2007

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

云与基础设施分类下的更多 MCP 服务器

MCP Server that interacts with Azure AI Foundry (experimental)

azure-ai-foundry

A MCP Server for Azure AI Foundry: it's now moved to cloud, check the new Foundry MCP Server

252

Aws Kb Retrieval Server

modelcontextprotocol

Model Context Protocol Servers

88.2K

MCP Gateway

mcp-ecosystem

🧩 MCP Gateway - A lightweight gateway service that instantly transforms existing MCP Servers and APIs into MCP servers with zero code changes. Features Docker deployment and management UI, requiring no infrastructure modifications.

2.2K

aws-finops-mcp-server

ravikiranvm

An MCP (Model Context Protocol) server that brings powerful AWS FinOps capabilities directly into your AI assistant. Analyze cloud costs, audit for waste, and get budget insights using natural language, all while keeping your credentials secure on your local machine.

179

Run Model Context Protocol (MCP) servers with AWS Lambda

awslabs

Run existing Model Context Protocol (MCP) stdio-based servers in AWS Lambda functions

373