mcp-server-aws

# 🚀 MCP-AWS: AI Agent for AWS EC2 Management Welcome to **MCP-AWS**, a simple yet powerful AI-driven application that leverages OpenAI Agents and MCP servers to manage AWS EC2 instances. This app allows you to provision and terminate EC2 instances using natural language commands in your terminal. 🖥️✨ --- ## 🌟 Features 1. **Provision EC2 Instances**: Just tell the AI agent to create an EC2 instance, and it will handle the rest, providing you with the instance ID. 🛠️ 2. **Terminate EC2 Instances**: Provide the instance ID, and the agent will terminate the instance for you. ❌ 3. **MCP Server Integration**: Explore how custom MCP servers can be created and integrated with OpenAI Agents SDK. 🧩 --- ## 🛠️ Tools in the MCP Server The MCP server is a custom server with two tools: 1. **`initiate_aws_ec2_instance`**: Creates an AWS EC2 instance. 2. **`terminate_aws_ec2_instance`**: Terminates an AWS EC2 instance by its ID. --- ## 🚀 Getting Started ### Prerequisites 1. **Python 3.12+**: Ensure you have Python installed. 2. **AWS IAM Role**: Create an IAM role with the necessary permissions to manage EC2 instances. 3. **Environment Variables**: Prepare a `.env` file with the following variables: - `AWS_ACCESS_KEY_ID` - `AWS_SECRET_ACCESS_KEY` - `AWS_DEFAULT_REGION` - `OPENAI_API_KEY` ### 🏃‍♂️ Installation & Running the App 1. Clone the repository: ```bash git clone https://github.com/anirban1592/mcp-server-aws.git cd mcp-aws ``` 2. Create and activate virtual environment: ```bash pip install uv uv venv .venv # Windows .venv\Scripts\activate # Unix/MacOS source .venv/bin/activate ``` ``` 3. Create a `.env` file in the root directory: ```bash AWS_ACCESS_KEY_ID=<your-aws-access-key-id> AWS_SECRET_ACCESS_KEY=<your-aws-secret-access-key> AWS_DEFAULT_REGION=<your-aws-region> OPENAI_API_KEY=<your-openai-api-key> ``` 4. Add EC2 instance configuration to `.env`: ```bash # EC2 Instance Configuration AMI_ID=<your-ami-id> INSTANCE_TYPE=<your-instance-type> KEY_NAME=<your-key-pair-name> SECURITY_GROUP_IDS=<your-security-group-ids> AWS_REGION=<your-aws-region> ``` 5. Run the application: ```bash cd openai-agent/ uv run agent.py ``` ### 💬 Using the AI Agent 1. To create an EC2 instance: ``` Enter your command: Create an EC2 instance ``` 2. To terminate an EC2 instance: ``` Enter your command: Terminate EC2 instance with ID <instance-id> ``` ## ⚠️ Word of Caution - **IAM Role and Credentials**: Please create AWS IAM roles and credentials at your own risk. Ensure you follow AWS best practices for security. - **Billing and Security**: This app is a proof of concept (POC) and is intended for learning purposes only. We are not responsible for any billing issues or security incidents. ## 📚 Learnings This project demonstrates: 1. How to integrate MCP servers with OpenAI Agents SDK 2. How to build a simple AI-driven application for AWS resource management Enjoy exploring the power of AI and MCP servers! 🌟