Content
# 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](#introduction)
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)
- [Links](#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**:
```bash
git clone https://github.com/Roji-val/A2A_ADK_MCP.git
```
2. **Navigate to the Project Directory**:
```bash
cd A2A_ADK_MCP
```
3. **Install Dependencies**:
Make sure you have Python 3 installed. Then run:
```bash
pip install -r requirements.txt
```
4. **Download the Latest Release**:
Visit the [Releases section](https://github.com/Roji-val/A2A_ADK_MCP/releases) 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**:
```python
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**:
```python
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.
```bash
git checkout -b feature/YourFeature
```
3. **Make Changes**: Implement your feature or fix a bug.
4. **Commit Your Changes**:
```bash
git commit -m "Add your message here"
```
5. **Push to Your Branch**:
```bash
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](LICENSE) file for more details.
## Links
For more information and to download the latest version, visit the [Releases section](https://github.com/Roji-val/A2A_ADK_MCP/releases).
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!
