semvec/pypi-packages huggingface dataset:
employee-analytics-mcp 0.1.5
An MCP server for employee analytics
Requires Python: >=3.8

# Employee Analytics MCP

An MCP server for employee analytics, providing tools to analyze employee performance, compare employees, and search by skill. And added deep web search to compare their work in real world.

## Usage

To run the MCP server:

```bash
python -m employee_analytics.main
```

## Features

- Analyze an employee's performance and project relevance
- Compare multiple employees
- Search for employees by skill
- Compare employee data with what's going on in the industry

## MCP Protocol

This package implements the MCP server protocol for integration with Cursor and other MCP-compatible tools.
pymagic-guyue 0.0.1
A utility library for Python development
Requires Python: >=3.6

# PyMagic

A comprehensive utility library for Python development, providing tools for logging, debugging, and common operations.

## Installation

```bash
pip install pymagic
```

## Features

- **Logging System**: Advanced logging capabilities based on loguru with customizable formats
- **Utility Tools**: Common utility functions for string manipulation, file operations, and more
- **Decorators**: Useful decorators for exception handling, timing, and other common patterns
- **Base Classes**: Extensible base classes to simplify application development

## Usage

### Logging

```python
from pymagic import logger

# Basic logging
logger.info("This is an info message")
logger.error("This is an error message")

# Create a custom logger
from pymagic import LoggerUtils

custom_logger = LoggerUtils.new("logs/app.log", level="DEBUG")
custom_logger.debug("This is a debug message in custom logger")
```

### Utility Tools

```python
from pymagic import Tools

# Check if string contains Chinese characters
contains_chinese = Tools.is_contain_zh("浣犲ソ World")

# Get current timestamp
timestamp = Tools.get_timestamp()

# Format time
formatted_time = Tools.format_time(timestamp, "%Y-%m-%d")
```

### Using Base Class

```python
from pymagic import Base

class MyClass(Base):
    def process_data(self, data):
        # Automatically gets exception handling
        # and logging capabilities
        return data.transform()

# Use with context manager
with MyClass() as my_instance:
    result = my_instance.process_data(some_data)
```

## Documentation

For full documentation, visit [our documentation site](https://github.com/guyue55/pymagic).

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your 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.