google_openai_mcp

# 🚀 Multi-Agent System: A2A & MCP Integration POC POC: Integrating A2A, MCP, and OpenAI Agents for AWS Tasks 🖥️✨ --- ## 🎥 Demo Video Watch the demo video to see MCP-AWS in action! 🚀 [](https://youtu.be/FeGmKmsYcRc) --- ## 🌟 Features 1. 🚀 **Seamless Protocol Integration**: Demonstrates the successful integration of the Agent-to-Agent (A2A) protocol with a Model Context Protocol (MCP) server for robust multi-agent communication. 2. 🧠 **Leverages OpenAI Agents SDK**: Built upon the powerful OpenAI Agents SDK to create intelligent agents capable of understanding and acting on user prompts. 3. ☁️ **Automated Cloud Management**: Enables direct provisioning and termination of AWS EC2 instances through simple user interactions, showcasing practical tool execution via the MCP. --- ## 🛠️ 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+** (for local setup) or **Docker** (for containerized setup) 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` - `AMI_ID` - `INSTANCE_TYPE` - `KEY_NAME` - `SECURITY_GROUP_IDS` - `AWS_REGION` ### 🏃‍♂️ Running the App 1. Clone the repository at the root: ```bash git clone https://github.com/anirban1592/google_openai_mcp.git cd google_openai_mcp ``` 2. Create `.env` file as shown in prerequisites 3. Run the remote agent example: ```bash cd openai-agent/ uv run . ``` 3. Clone the A2A client code(by google) at the root dir: ```bash git clone https://github.com/google/A2A.git cd demo/ui ``` 4. Create an environment file with your API key or enter it directly in the UI when prompted: ```bash echo "GOOGLE_API_KEY=your_api_key_here" >> .env ``` 5. Run the front end example: ```bash uv run main.py ``` 6. Refer to the attached video to see it in action ### 💬 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! 🌟