iflow-mcp_roji-val-a2a_adk_mcp 0.1.0

Multi-Agent Systems with Google's Agent Development Kit + A2A + MCP

A2A_ADK_MCP: Multi-Agent Systems with Google's Agent Development Kit + A2A + MCP 🤖🌐

Welcome to the A2A_ADK_MCP repository! This project focuses on building Multi-Agent Systems using Google's Agent Development Kit along with A2A and MCP technologies. This README will guide you through the project, its features, installation, usage, and more.

Table of Contents

• Introduction
• Features
• Installation
• Usage
• Contributing
• License
• Links

Introduction

In the era of advanced technology, multi-agent systems (MAS) play a crucial role in developing intelligent applications. This repository combines the power of Google's Agent Development Kit (ADK) with the A2A framework and MCP to create a robust environment for building MAS.

What is A2A?

A2A (Agent-to-Agent) is a communication protocol that enables agents to interact with each other seamlessly. This facilitates complex task management and improves system efficiency.

What is MCP?

MCP (Multi-Agent Control Protocol) provides the necessary control mechanisms for managing interactions among agents. It ensures that agents can coordinate their actions effectively.

Features

• Easy Integration: Integrate various agents with minimal effort.
• Scalability: Build systems that can grow with your needs.
• Real-time Communication: Enable agents to communicate in real-time.
• Customizable Agents: Create agents tailored to your specific requirements.
• Robust Documentation: Comprehensive guides to help you get started.

Installation

To get started with the A2A_ADK_MCP project, follow these steps:

1. Clone the Repository:

   git clone https://github.com/Roji-val/A2A_ADK_MCP.git
   

2. Navigate to the Project Directory:

   cd A2A_ADK_MCP
   

3. Install Dependencies: Make sure you have Python 3 installed. Then run:

   pip install -r requirements.txt
   

4. Download the Latest Release: Visit the Releases section to download the latest version. Execute the downloaded file to set up the application.

Usage

Once installed, you can start building your multi-agent systems. Here’s a basic example to get you started:

1. Create a New Agent:

   from agent import Agent
   
   class MyAgent(Agent):
       def __init__(self, name):
           super().__init__(name)
   
       def perform_task(self):
           print(f"{self.name} is performing a task.")
   

2. Initialize and Run the Agent:

   if __name__ == "__main__":
       agent = MyAgent("Agent007")
       agent.perform_task()
   

This simple code snippet shows how to create and run an agent. Expand upon this by integrating more agents and utilizing the A2A and MCP features.

Contributing

We welcome contributions to improve the A2A_ADK_MCP project. Here’s how you can help:

1. Fork the Repository: Click the "Fork" button at the top right of the page.
2. Create a Branch: Use a descriptive name for your branch.

   git checkout -b feature/YourFeature
   

3. Make Changes: Implement your feature or fix a bug.
4. Commit Your Changes:

   git commit -m "Add your message here"
   

5. Push to Your Branch:

   git push origin feature/YourFeature
   

6. Open a Pull Request: Go to the original repository and click on "New Pull Request".

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Links

For more information and to download the latest version, visit the Releases section.

Explore the power of multi-agent systems and enhance your applications with A2A and MCP. Your contributions and feedback are welcome as we continue to improve this project.

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This README serves as a comprehensive guide to understanding and utilizing the A2A_ADK_MCP repository. Feel free to reach out with questions or suggestions. Happy coding!