# 🎯 Mcpturbo Orchestrator
MCPTurbo - Intelligent Agent Orchestration & Coordination
## 📋 Overview
Project orchestration, agent coordination, workflow management
## 📦 Installation
```bash
pip install mcpturbo-orchestrator
```
## 🚀 Quick Start
```python
# Basic usage example
from mcpturbo_orchestrator import main_component
# Initialize component
component = main_component()
# Use component
result = await component.execute()
print(f"Result: {result}")
```
## 🔧 Configuration
```python
# Configuration example
config = {
"setting1": "value1",
"setting2": "value2"
}
component = main_component(**config)
```
## 📚 Documentation
- **[API Reference](https://mcpturbo.dev/docs/orchestrator)**
- **[Examples](https://github.com/fmonfasani/mcpturbo-orchestrator/tree/main/examples)**
- **[Contributing](https://github.com/fmonfasani/mcpturbo-orchestrator/blob/main/CONTRIBUTING.md)**
## 🔗 Related Projects
- **[MCPTurbo Core](https://github.com/fmonfasani/mcpturbo-core)** - Core protocol
- **[MCPTurbo CLI](https://github.com/fmonfasani/mcpturbo-cli)** - Command line interface
- **[MCPTurbo Complete](https://github.com/fmonfasani/mcpturbo-complete)** - Full installation
## 🤝 Contributing
1. Fork the repository
2. Create a feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add some amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request
## 📄 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 🙏 Acknowledgments
- Part of the MCPTurbo ecosystem
- Built with modern Python best practices
- Inspired by the need for intelligent agent coordination
---
<div align="center">
Made with ❤️ by the MCPTurbo Team
</div>
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