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🤖 Mcpturbo

MCPTurbo - library for multi-agent communication protocol

📋 Overview

mcpturbo-ai, mcpturbo-core, mcpturbo-agents, mcpturbo-generators, mcpturbo-templates, mcpturbo-cli, mcpturbo-cloud, mcpturbo-web, mcpturbo-enterprise

📦 Installation

pip install mcpturbo

🚀 Quick Start

# Basic usage example
from mcpturbo import mcpturbo.ai, mcpturbo.agents, mcpturbo.generators, mcpturbo.templates, mcpturbo.cli, mcpturbo.cloud, mcpturbo.web, mcpturbo.enterprise

# Initialize component
component = mcpturbo.ai()

# 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 1.0.0

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