
MCP-Server-Aws
POC:具有OpenAI代理SDK的MCP服务器
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🚀 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. 🖥️✨
🎥 Demo Video
Watch the demo video to see MCP-AWS in action! 🚀
🌟 Features
- 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. 🛠️
- Terminate EC2 Instances: Provide the instance ID, and the agent will terminate the instance for you. ❌
- 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:
-
initiate_aws_ec2_instance
: Creates an AWS EC2 instance. -
terminate_aws_ec2_instance
: Terminates an AWS EC2 instance by its ID.
🚀 Getting Started
Prerequisites
- Python 3.12+ (for local setup) or Docker (for containerized setup)
- AWS IAM Role: Create an IAM role with the necessary permissions to manage EC2 instances.
-
Environment Variables: Prepare a
.env
file with the following variables:-
AWS_ACCESS_KEY_ID
-
AWS_SECRET_ACCESS_KEY
-
AWS_DEFAULT_REGION
-
OPENAI_API_KEY
-
AMI_ID
-
INSTANCE_TYPE
-
KEY_NAME
-
SECURITY_GROUP_IDS
-
AWS_REGION
-
🏃♂️ Running the App
- Clone the repository:
git clone https://github.com/anirban1592/mcp-server-aws.git cd mcp-aws
- Create
.env
file as shown in prerequisites
Option 1: Docker Setup (Recommended)
- Build the Docker image:
docker image build -t my-mcp .
- Run the container:
docker container run -it my-mcp
Option 2: Local Setup
-
Create and activate virtual environment:
pip install uv uv venv .venv # Windows .venv\Scripts\activate # Unix/MacOS source .venv/bin/activate
-
Run the application:
cd openai-agent/ uv run agent.py
💬 Using the AI Agent
-
To create an EC2 instance:
Enter your command: Create an EC2 instance
-
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:
- How to integrate MCP servers with OpenAI Agents SDK
- How to build a simple AI-driven application for AWS resource management
Enjoy exploring the power of AI and MCP servers! 🌟
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Reviews

user_hExfsFEu
As a dedicated user of mcp-server-aws, I can confidently say that it is a robust and reliable solution for managing servers on AWS. Developed by anirban1592, this tool has streamlined our deployment processes significantly, ensuring efficiency and ease of use. The documentation is thorough and the welcoming information was very helpful for getting started. Highly recommend for anyone working with AWS!