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🎯 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

🤝 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

Made with ❤️ by the MCPTurbo Team

Metadata

Release files for mcpturbo-orchestrator 1.0.2

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