AWS MCP Infrastructure

This project provides a complete solution for deploying AWS infrastructure using:

Chat interface with natural language processing (NLP)
Integration with Model Context Protocol (MCP)
RESTful API with Express
Modern and responsive GUI

🚀 Quick Installation

Install dependencies:
npm install
Configure AWS:
- Edit the .env file
- Add your AWS_ACCESS_KEY_ID
- Add your AWS_SECRET_ACCESS_KEY
Start the server:
npm run dev
Access the application:
- Chat GUI: http://localhost:3000
- API Docs: http://localhost:3000/api-docs

📝 Example Commands

In the chat interface you can use commands like:

"Create an S3 bucket named photos-2024"
"Deploy a small EC2 instance"
"Create a DynamoDB table for users"
"Deploy a Lambda function in Python"
"Show all resources"
"Delete the bucket s3-1234567890"

🛡️ Security Considerations

Never upload the .env file to a repository
Created resources may incur AWS costs
Use IAM roles with the minimum necessary permissions
For production, add authentication to the endpoints

📁 Project Structure

aws-mcp-infrastructure/
├── src/
│   ├── config/         # Configurations (AWS, Swagger)
│   ├── middleware/     # Express middlewares
│   ├── routes/         # API routes
│   ├── services/       # Business logic
│   │   ├── aws/        # AWS services
│   │   └── mcp/        # MCP server
│   ├── types/          # TypeScript types
│   └── utils/          # Utilities (logger, validators)
├── public/             # Static files (Chat GUI)
├── package.json        # Dependencies
├── tsconfig.json       # TypeScript configuration
└── .env                # Environment variables

Contributing

We welcome contributions! Please follow these steps:

Fork the repository
Create a branch for your feature
Commit your changes
Push to the branch
Create a Pull Request

📄 License

MIT License

This server cannot be installed

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Provides a chat interface with natural language processing to deploy and manage AWS resources through an integrated Model Context Protocol (MCP) server.

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