semvec/pypi-packages huggingface dataset:
mcpturbo-web-stack 1.0.0
MCPTurbo - Web Development Stack
License: MIT
Requires Python: >=3.9
Keywords: mcpturbo, agents, mcp, automation, ai

# 🌐 Mcpturbo Web Stack

MCPTurbo - Web Development Stack

## 📋 Overview

Essential components for web development

## 📦 Installation

```bash
pip install mcpturbo-web-stack
```

## 🚀 Quick Start

```python
# Basic usage example
from mcpturbo_web_stack 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/web-stack)**
- **[Examples](https://github.com/fmonfasani/mcpturbo-web-stack/tree/main/examples)**
- **[Contributing](https://github.com/fmonfasani/mcpturbo-web-stack/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-web 1.0.0
MCPTurbo - Web Dashboard and Visual Editor
License: MIT
Requires Python: >=3.9
Keywords: mcpturbo, agents, mcp, automation, ai

# 🌐 Mcpturbo Web

MCPTurbo - Web Dashboard and Visual Editor

## 📋 Overview

Web dashboard, visual builder, real-time preview

## 📦 Installation

```bash
pip install mcpturbo-web
```

## 🚀 Quick Start

```python
# Basic usage example
from mcpturbo_web 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/web)**
- **[Examples](https://github.com/fmonfasani/mcpturbo-web/tree/main/examples)**
- **[Contributing](https://github.com/fmonfasani/mcpturbo-web/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-tools 1.0.0
MCPTurbo - Development Tools and Utilities
License: MIT
Requires Python: >=3.9
Keywords: mcpturbo, agents, mcp, automation, ai

# 🔧 Mcpturbo Tools

MCPTurbo - Development Tools and Utilities

## 📋 Overview

Analysis tools, profilers, debug utilities, testing helpers

## 📦 Installation

```bash
pip install mcpturbo-tools
```

## 🚀 Quick Start

```python
# Basic usage example
from mcpturbo_tools 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/tools)**
- **[Examples](https://github.com/fmonfasani/mcpturbo-tools/tree/main/examples)**
- **[Contributing](https://github.com/fmonfasani/mcpturbo-tools/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-templates 1.0.0
MCPTurbo - Template Engine and Collections
License: MIT
Requires Python: >=3.9
Keywords: mcpturbo, agents, mcp, automation, ai

# 🎨 Mcpturbo Templates

MCPTurbo - Template Engine and Collections

## 📋 Overview

Template engine, backend/frontend/devops templates

## 📦 Installation

```bash
pip install mcpturbo-templates
```

## 🚀 Quick Start

```python
# Basic usage example
from mcpturbo_templates 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/templates)**
- **[Examples](https://github.com/fmonfasani/mcpturbo-templates/tree/main/examples)**
- **[Contributing](https://github.com/fmonfasani/mcpturbo-templates/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-plugins 1.0.0
MCPTurbo - Plugin System and Extensions
License: MIT
Requires Python: >=3.9
Keywords: mcpturbo, agents, mcp, automation, ai

# 🔌 Mcpturbo Plugins

MCPTurbo - Plugin System and Extensions

## 📋 Overview

Plugin architecture, extension loader, marketplace

## 📦 Installation

```bash
pip install mcpturbo-plugins
```

## 🚀 Quick Start

```python
# Basic usage example
from mcpturbo_plugins 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/plugins)**
- **[Examples](https://github.com/fmonfasani/mcpturbo-plugins/tree/main/examples)**
- **[Contributing](https://github.com/fmonfasani/mcpturbo-plugins/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-generators 1.0.0
MCPTurbo - Code Generation Agents (Backend, Frontend, DevOps)
License: MIT
Requires Python: >=3.9
Keywords: mcpturbo, agents, mcp, automation, ai

# ⚡ Mcpturbo Generators

MCPTurbo - Code Generation Agents (Backend, Frontend, DevOps)

## 📋 Overview

ArchitectAgent, BackendAgent, FrontendAgent, DevOpsAgent

## 📦 Installation

```bash
pip install mcpturbo-generators
```

## 🚀 Quick Start

```python
# Basic usage example
from mcpturbo_generators 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/generators)**
- **[Examples](https://github.com/fmonfasani/mcpturbo-generators/tree/main/examples)**
- **[Contributing](https://github.com/fmonfasani/mcpturbo-generators/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-docs 1.0.0
MCPTurbo - Documentation and Examples
License: MIT
Requires Python: >=3.9
Keywords: mcpturbo, agents, mcp, automation, ai

# 📚 Mcpturbo Docs

MCPTurbo - Documentation and Examples

## 📋 Overview

API docs, tutorials, examples, best practices

## 📦 Installation

```bash
pip install mcpturbo-docs
```

## 🚀 Quick Start

```python
# Basic usage example
from mcpturbo_docs 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/docs)**
- **[Examples](https://github.com/fmonfasani/mcpturbo-docs/tree/main/examples)**
- **[Contributing](https://github.com/fmonfasani/mcpturbo-docs/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-complete 1.0.0
MCPTurbo - Complete Installation (All Components)
License: MIT
Requires Python: >=3.9
Keywords: mcpturbo, agents, mcp, automation, ai

# 📦 Mcpturbo Complete

MCPTurbo - Complete Installation (All Components)

## 📋 Overview

Meta-package with all MCPTurbo components

## 📦 Installation

```bash
pip install mcpturbo-complete
```

## 🚀 Quick Start

```python
# Basic usage example
from mcpturbo_complete 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/complete)**
- **[Examples](https://github.com/fmonfasani/mcpturbo-complete/tree/main/examples)**
- **[Contributing](https://github.com/fmonfasani/mcpturbo-complete/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-cloud-stack 1.0.0
MCPTurbo - Cloud Development Stack
License: MIT
Requires Python: >=3.9
Keywords: mcpturbo, agents, mcp, automation, ai

# ☁️ Mcpturbo Cloud Stack

MCPTurbo - Cloud Development Stack

## 📋 Overview

Complete stack for cloud development

## 📦 Installation

```bash
pip install mcpturbo-cloud-stack
```

## 🚀 Quick Start

```python
# Basic usage example
from mcpturbo_cloud_stack 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/cloud-stack)**
- **[Examples](https://github.com/fmonfasani/mcpturbo-cloud-stack/tree/main/examples)**
- **[Contributing](https://github.com/fmonfasani/mcpturbo-cloud-stack/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-enterprise 1.0.0
MCPTurbo - Enterprise Features and Governance
License: MIT
Requires Python: >=3.9
Keywords: mcpturbo, agents, mcp, automation, ai

# 🏢 Mcpturbo Enterprise

MCPTurbo - Enterprise Features and Governance

## 📋 Overview

Team collaboration, RBAC, audit logging, compliance

## 📦 Installation

```bash
pip install mcpturbo-enterprise
```

## 🚀 Quick Start

```python
# Basic usage example
from mcpturbo_enterprise 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/enterprise)**
- **[Examples](https://github.com/fmonfasani/mcpturbo-enterprise/tree/main/examples)**
- **[Contributing](https://github.com/fmonfasani/mcpturbo-enterprise/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-cloud 1.0.0
MCPTurbo - Cloud Deployment and Infrastructure
License: MIT
Requires Python: >=3.9
Keywords: mcpturbo, agents, mcp, automation, ai

# ☁️ Mcpturbo Cloud

MCPTurbo - Cloud Deployment and Infrastructure

## 📋 Overview

AWS, GCP, Azure deployment, Docker, Kubernetes

## 📦 Installation

```bash
pip install mcpturbo-cloud
```

## 🚀 Quick Start

```python
# Basic usage example
from mcpturbo_cloud 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/cloud)**
- **[Examples](https://github.com/fmonfasani/mcpturbo-cloud/tree/main/examples)**
- **[Contributing](https://github.com/fmonfasani/mcpturbo-cloud/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-cli 1.0.0
MCPTurbo - Command Line Interface
License: MIT
Requires Python: >=3.9
Keywords: mcpturbo, agents, mcp, automation, ai

# 💻 Mcpturbo Cli

MCPTurbo - Command Line Interface

## 📋 Overview

CLI commands, interactive prompts, Golden Path flows

## 📦 Installation

```bash
pip install mcpturbo-cli
```

## 🚀 Quick Start

```python
# Basic usage example
from mcpturbo_cli 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/cli)**
- **[Examples](https://github.com/fmonfasani/mcpturbo-cli/tree/main/examples)**
- **[Contributing](https://github.com/fmonfasani/mcpturbo-cli/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>