🤖 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
🔗 Related Projects
- MCPTurbo Core - Core protocol
- MCPTurbo CLI - Command line interface
- MCPTurbo Complete - Full installation
🤝 Contributing
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - 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
1 maintainer
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