LAB AWS MCP Servers
БесплатноНе проверенBuilding and Deploying a fullstack App with AWS MCP servers
Описание
Building and Deploying a fullstack App with AWS MCP servers
README
A full-stack application demonstrating deployment of Node.js API and Next.js frontend on AWS ECS using containerization.
🏗️ Architecture
- Backend: Node.js Express API with health checks and user management
- Frontend: Next.js React application with API integration
- Containerization: Docker containers for both applications
- Deployment: AWS ECS with ECR for container registry
- Load Balancing: Application Load Balancer for high availability
- Security: SSL/HTTPS encryption with automatic HTTP redirect
📁 Project Structure
fullstack-app/
├── api/ # Node.js Express API
│ ├── server.js # Main server file
│ ├── package.json # API dependencies
│ └── Dockerfile # API container configuration
├── frontend/ # Next.js React application
│ ├── pages/
│ │ └── index.js # Main page with user interface
│ ├── public/ # Static assets
│ ├── package.json # Frontend dependencies
│ ├── next.config.js # Next.js configuration
│ └── Dockerfile # Frontend container configuration
├── docker-compose.yml # Local development setup
├── deployment-guide.md # Detailed deployment instructions
└── README.md # This file
🚀 Features
Node.js API (Port 3001)
- Health Check:
GET /health- Application health status - User Management:
GET /api/users- Retrieve all usersPOST /api/users- Create new user
- CORS Support: Cross-origin requests enabled
- Production Ready: Optimized Docker container
Next.js Frontend (Port 3000)
- User Interface: Interactive user management
- API Integration: Real-time communication with backend
- Responsive Design: Works on desktop and mobile
- Production Build: Optimized for deployment
🛠️ Local Development
Prerequisites
- Docker and Docker Compose
- Node.js 18+ (for local development)
Quick Start
# Clone and navigate to project
cd fullstack-app
# Start both applications
docker compose up --build
# Access applications
# API: http://localhost:3001
# Frontend: http://localhost:3000
Individual Services
# API only
cd api
npm install
npm start
# Frontend only
cd frontend
npm install
npm run dev
🌐 AWS Deployment
ECR Container Registry
- API:
<account-id>.dkr.ecr.<region>.amazonaws.com/nodejs-api:latest - Frontend:
<account-id>.dkr.ecr.<region>.amazonaws.com/nextjs-frontend:latest
Deployment Options
1. AWS ECS (Recommended)
- Full container orchestration
- Auto-scaling capabilities
- Load balancer integration
- Production-grade monitoring
2. AWS App Runner
- Simplified deployment
- Automatic scaling
- Built-in load balancing
3. AWS Lambda (Serverless)
- Pay-per-request pricing
- Automatic scaling
- No server management
See deployment-guide.md for detailed instructions.
🔧 Configuration
Environment Variables
API
NODE_ENV: Environment (development/production)PORT: Server port (default: 3001)
Frontend
NEXT_PUBLIC_API_URL: Backend API URLNODE_ENV: Environment (development/production)
Docker Configuration
- Multi-stage builds for optimized images
- Non-root users for security
- Health checks for container monitoring
- Alpine Linux for minimal image size
📊 Monitoring & Observability
Health Checks
- API health endpoint:
/health - Docker container health checks
- Load balancer health monitoring
Logging
- Structured JSON logging
- CloudWatch integration
- Container-level log aggregation
🔒 Security Features
- CORS Configuration: Proper cross-origin handling
- Non-root Containers: Enhanced security
- Environment Variables: Secure configuration management
- VPC Networking: Isolated network environment
- SSL/HTTPS: End-to-end encryption
- HTTP to HTTPS Redirect: Automatic secure connections
🚦 API Endpoints
Health Check
GET /health
Response: {"status": "OK", "timestamp": "2025-06-23T10:28:59.280Z"}
Users
GET /api/users
Response: [{"id": 1, "name": "John Doe", "email": "[email protected]"}]
POST /api/users
Body: {"name": "New User", "email": "[email protected]"}
Response: {"id": 123456789, "name": "New User", "email": "[email protected]"}
🎯 Performance Optimizations
- Container Optimization: Multi-stage Docker builds
- Next.js Optimization: Static generation and code splitting
- Caching: Efficient Docker layer caching
- Resource Limits: Proper CPU and memory allocation
- Load Balancing: Application Load Balancer with health checks
- HTTP/2: Modern protocol support with SSL/HTTPS
📈 Scaling Considerations
- Horizontal Scaling: Multiple container instances
- Load Balancing: Application Load Balancer
- Auto Scaling: Based on CPU/memory metrics
- Database: Consider RDS for persistent data
🛡️ Production Checklist
- Environment variables configured
- HTTPS/SSL certificates
- Database connections secured
- Monitoring and alerting setup
- Backup and disaster recovery
- CI/CD pipeline configured
📚 Technologies Used
- Backend: Node.js, Express.js
- Frontend: Next.js, React
- Containerization: Docker, Docker Compose
- Cloud: AWS ECS, ECR, ALB
- Security: SSL/HTTPS, ACM certificates
- Monitoring: CloudWatch, Health Checks
🤝 Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Test locally with Docker Compose
- Submit a pull request
📄 License
This project is part of the AWS MCP (Model Context Protocol) demonstration series.
Built with ❤️ using AWS MCP Server tools for seamless cloud deployment
Установка LAB AWS MCP Servers
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/AKRAMSOUIDA/LAB-AWS-MCP-servers-FAQ
LAB AWS MCP Servers MCP бесплатный?
Да, LAB AWS MCP Servers MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для LAB AWS MCP Servers?
Нет, LAB AWS MCP Servers работает без API-ключей и переменных окружения.
LAB AWS MCP Servers — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить LAB AWS MCP Servers в Claude Desktop, Claude Code или Cursor?
Открой LAB AWS MCP Servers на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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