71 lines
2.2 KiB
Markdown
71 lines
2.2 KiB
Markdown
# Hong Kong Observatory MCP Server
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A Model Context Protocol (MCP) server that provides weather information of Hong Kong Observatory.
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## Features
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- Weather information (forecasts, warnings, current conditions)
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- Earthquake information
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- Gregorian to Lunar calendar conversion
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- Rainfall data from monitoring stations
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## Data Source
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This project utilizes the official HKO Open Data API:
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- Weather Information base URL: https://data.weather.gov.hk/weatherAPI/opendata/weather.php
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- Earthquake Information base URL: https://data.weather.gov.hk/weatherAPI/opendata/earthquake.php
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- Gregorian-Lunar Calendar Conversion base URL: https://data.weather.gov.hk/weatherAPI/opendata/lunardate.php
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- Rainfall in the Past Hour from Automatic Weather Station base URL: https://data.weather.gov.hk/weatherAPI/opendata/hourlyRainfall.php
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- [HKO Open Data API Documentation](https://www.hko.gov.hk/en/weatherAPI/doc/files/HKO_Open_Data_API_Documentation.pdf)
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## Prerequisites
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- Python 3.10 or higher
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## Installation
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1. Install Python
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2. Clone this repository:
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```bash
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git clone https://github.com/pongiotdevelop/hko_mcp.git
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```
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## Usage
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1. Add the below to your MCP configuration:
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```json
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{
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"mcpServers": {
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"HKO_MCP": {
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"command": "python",
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"args": [
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"<directory of the project>"
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]
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}
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}
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}
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```
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2. The server provides several tools that can be used by Language Models to query HKO information:
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- `get_weather_info(dataType: str, lang: str = "en")`: Get weather information from the Hong Kong Observatory.
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- `get_earthquake_info(dataType: str, lang: str = "en")`: Get earthquake information from the Hong Kong Observatory.
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- `Gregorian_Lunar_Calendar_Conversion(date: str)`: Convert Gregorian date to Lunar date.
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- `rainfall_past_hour_from_station(lang: str = "en")`: Get rainfall past hour from the Hong Kong Observatory.
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## Testing
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Run the test.py for testing the API functions of MCP server:
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```bash
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python test.py
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```
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## Dependencies
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- `requests`: For HTTP requests
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- `fastmcp`: For MCP server implementation
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## Contributing
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Contributions are welcome! Please feel free to submit a Pull Request.
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## Acknowledgments
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- Hong Kong Observatory for providing the open data API
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- The MCP protocol developers
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