mcpturbo-orchestrator 1.0.2

MCPTurbo - Intelligent Agent Orchestration & Coordination

🎯 Mcpturbo Orchestrator

MCPTurbo - Intelligent Agent Orchestration & Coordination

📋 Overview

Project orchestration, agent coordination, workflow management

📦 Installation

pip install mcpturbo-orchestrator

🚀 Quick Start

# 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

# Configuration example
config = {
    "setting1": "value1",
    "setting2": "value2"
}

component = main_component(**config)

📚 Documentation

• API Reference
• Examples
• Contributing

🔗 Related Projects

• MCPTurbo Core - Core protocol
• MCPTurbo CLI - Command line interface
• 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 file for details.

🙏 Acknowledgments

• Part of the MCPTurbo ecosystem
• Built with modern Python best practices
• Inspired by the need for intelligent agent coordination

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Made with ❤️ by the MCPTurbo Team