semvec/pypi-packages huggingface dataset:
zensols.alsum 0.0.1
Summarize text using Component ALignment Abstract Meaning Representation (CALAMR) alignment.
Keywords: tooling

# ALignment SUMmarization

[![PyPI][pypi-badge]][pypi-link]
[![Python 3.10][python3100-badge]][python3100-link]
[![Python 3.11][python311-badge]][python311-link]

Summarize text using Component ALignment Abstract Meaning Representation
(CALAMR) alignment.


## Documentation

See the [full documentation](https://plandes.github.io/alsum/index.html).
The [API reference](https://plandes.github.io/alsum/api.html) is also
available.


## Obtaining

The library can be installed with pip from the [pypi] repository:
```bash
pip3 install zensols.alsum
```


## Changelog

An extensive changelog is available [here](CHANGELOG.md).


## Community

Please star this repository and let me know how and where you use this API.
Contributions as pull requests, feedback and any input is welcome.


## License

[MIT License](LICENSE.md)

Copyright (c) 2024 Paul Landes


<!-- links -->
[pypi]: https://pypi.org/project/zensols.alsum/
[pypi-link]: https://pypi.python.org/pypi/zensols.alsum
[pypi-badge]: https://img.shields.io/pypi/v/zensols.alsum.svg
[python3100-badge]: https://img.shields.io/badge/python-3.10-blue.svg
[python3100-link]: https://www.python.org/downloads/release/python-3100
[python311-badge]: https://img.shields.io/badge/python-3.11-blue.svg
[python311-link]: https://www.python.org/downloads/release/python-3110
hkopenai.hk-commerce-mcp-server 0.1.8
Hong Kong commerce MCP Server providing commerce data tools
Requires Python: >=3.7

# Hong Kong Commerce MCP Server

[![GitHub Repository](https://img.shields.io/badge/GitHub-Repository-blue.svg)](https://github.com/hkopenai/hk-commerce-mcp-server)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

This is an MCP server that provides access to commerce-related data through a FastMCP interface.

## Features

### Hotel Room Occupancy Rate
- Get hotel room occupancy rate data in Hong Kong

## Data Source

- Culture, Sports and Tourism Bureau

## Examples

* Get hotel room occupancy rate data in Hong Kong

## Setup

1. Clone this repository
2. Install Python dependencies:
   ```bash
   pip install -r requirements.txt
   ```
3. Run the server:
   ```bash
   python app.py
   ```

### Running Options

- Default stdio mode: `python app.py`
- SSE mode (port 8000): `python app.py --sse`

## Cline Integration

To connect this MCP server to Cline using stdio:

1. Add this configuration to your Cline MCP settings (cline_mcp_settings.json):
```json
{
  "hk-commerce": {
    "disabled": false,
    "timeout": 3,
    "type": "stdio",
    "command": "uvx",
    "args": [
      "hkopenai.hk-commerce-mcp-server"
    ]
  }
}
```

## Testing

Tests are available in the `tests/` directory. Run with:
```bash
pytest
```