semvec/pypi-packages huggingface dataset:
mcpturbo-orchestrator 1.0.2
MCPTurbo - Intelligent Agent Orchestration & Coordination
License: MIT
Requires Python: >=3.9
Keywords: mcpturbo, agents, mcp, automation, ai

# 🎯 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>
mcpturbo-core 2.0.1
Multi-agent Communication Protocol - Core v2
License: MIT
Requires Python: >=3.9
Keywords: mcpturbo, agents, mcp, automation, ai, llm, orchestration

# 🔗 Mcpturbo Core

Multi-agent Communication Protocol - Core Components

## 📋 Overview

MCP Protocol base, exceptions, utilities, configuration

## 📦 Installation

```bash
pip install mcpturbo-core
```

## 🚀 Quick Start

```python
# Basic usage example
from mcpturbo_core 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/core)**
- **[Examples](https://github.com/fmonfasani/mcpturbo-core/tree/main/examples)**
- **[Contributing](https://github.com/fmonfasani/mcpturbo-core/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>