HK Climate and Weather MCP Server

HK Climate and Weather MCP Server

Provides access to Hong Kong climate and weather data from the Hong Kong Observatory, including current conditions, forecasts, warnings, tides, and more.

Category
访问服务器

README

HK Climate and Weather MCP Server

GitHub Repository License: MIT

This is an MCP server that provides access to climate and weather data through a FastMCP interface.

Data Source

  • Hong Kong Observatory

Features

  • Current weather: Get current weather observations from HKO (supports optional region parameter)
  • 9-day forecast: Get extended weather forecast including general situation, daily forecasts, sea and soil temperatures
  • Local weather forecast: Get short-term weather forecast with outlook
  • Weather warnings: Get summary and detailed information about active weather warnings
  • Special weather tips: Get important weather-related safety tips

API Reference

Current Weather

get_current_weather(region: str = "Hong Kong Observatory") -> Dict

  • Get current weather observations for a specific region in Hong Kong
  • Parameters:
    • region: The region to get weather for (default: "Hong Kong Observatory")
  • Returns:
    • Dict containing:
      • warning: Current weather warnings
      • temperature: Current temperature in Celsius
      • humidity: Current humidity percentage
      • rainfall: Current rainfall in mm

9-Day Weather Forecast

get_9_day_weather_forecast(lang: str = "en") -> Dict

  • Get the 9-day weather forecast for Hong Kong
  • Parameters:
    • lang: Language code (en/tc/sc, default: en)
  • Returns:
    • Dict containing:
      • generalSituation: General weather situation
      • weatherForecast: List of daily forecast dicts
      • updateTime: Last update time
      • seaTemp: Sea temperature info
      • soilTemp: List of soil temperature info

Local Weather Forecast

get_local_weather_forecast(lang: str = "en") -> Dict

  • Get local weather forecast for Hong Kong
  • Parameters:
    • lang: Language code (en/tc/sc, default: en)
  • Returns:
    • Dict containing:
      • forecastDesc: Forecast description
      • outlook: Outlook forecast
      • updateTime: Last update time
      • forecastPeriod: Forecast period
      • forecastDate: Forecast date

Weather Warning Summary

get_weather_warning_summary(lang: str = "en") -> Dict

  • Get weather warning summary for Hong Kong
  • Parameters:
    • lang: Language code (en/tc/sc, default: en)
  • Returns:
    • Dict containing:
      • warningMessage: List of warning messages
      • updateTime: Last update time

Weather Warning Information

get_weather_warning_info(lang: str = "en") -> Dict

  • Get detailed weather warning information
  • Parameters:
    • lang: Language code (en/tc/sc, default: en)
  • Returns:
    • Dict containing:
      • warningStatement: Warning statement
      • updateTime: Last update time

Special Weather Tips

get_special_weather_tips(lang: str = "en") -> Dict

  • Get special weather tips for Hong Kong
  • Parameters:
    • lang: Language code (en/tc/sc, default: en)
  • Returns:
    • Dict containing:
      • specialWeatherTips: List of special weather tips
      • updateTime: Last update time

Visibility Data

get_visibility(lang: str = "en") -> Dict

  • Get latest 10-minute mean visibility data for Hong Kong
  • Parameters:
    • lang: Language code (en/tc/sc, default: en)
  • Returns:
    • Dict containing visibility data with fields and data arrays

Lightning Data

get_lightning_data(lang: str = "en") -> Dict

  • Get cloud-to-ground and cloud-to-cloud lightning count data
  • Parameters:
    • lang: Language code (en/tc/sc, default: en)
  • Returns:
    • Dict containing lightning data with fields and data arrays

Moon Times

get_moon_times(year: int, month: Optional[int] = None, day: Optional[int] = None, lang: str = "en") -> Dict

  • Get times of moonrise, moon transit and moonset
  • Parameters:
    • year: Year (2018-2024)
    • month: Optional month (1-12)
    • day: Optional day (1-31)
    • lang: Language code (en/tc/sc, default: en)
  • Returns:
    • Dict containing moon times data with fields and data arrays

Hourly Tides

get_hourly_tides(station: str, year: int, month: Optional[int] = None, day: Optional[int] = None, hour: Optional[int] = None, lang: str = "en") -> Dict

  • Get hourly heights of astronomical tides for a specific station
  • Parameters:
    • station: Station code (e.g. 'CCH' for Cheung Chau)
    • year: Year (2022-2024)
    • month: Optional month (1-12)
    • day: Optional day (1-31)
    • hour: Optional hour (1-24)
    • lang: Language code (en/tc/sc, default: en)
  • Returns:
    • Dict containing tide data with fields and data arrays

High/Low Tides

get_high_low_tides(station: str, year: int, month: Optional[int] = None, day: Optional[int] = None, hour: Optional[int] = None, lang: str = "en") -> Dict

  • Get times and heights of astronomical high and low tides
  • Parameters:
    • station: Station code (e.g. 'CCH' for Cheung Chau)
    • year: Year (2022-2024)
    • month: Optional month (1-12)
    • day: Optional day (1-31)
    • hour: Optional hour (1-24)
    • lang: Language code (en/tc/sc, default: en)
  • Returns:
    • Dict containing tide data with fields and data arrays

Weather and Radiation Report

get_weather_radiation_report(date: str, station: str, lang: str = "en") -> Dict

  • Get weather and radiation level report for Hong Kong
  • Parameters:
    • date: Mandatory date in YYYYMMDD format (e.g., 20250618)
    • station: Mandatory station code (e.g., 'HKO' for Hong Kong Observatory)
    • lang: Language code (en/tc/sc, default: en)
  • Returns:
    • Dict containing weather and radiation data or error message if parameters are invalid

Station Codes

get_radiation_station_codes() -> Dict

  • Get a list of station codes and their corresponding names for weather and radiation reports in Hong Kong
  • Parameters:
    • None
  • Returns:
    • Dict mapping station codes to station names

Setup

  1. Clone this repository
  2. Install Python dependencies:
    pip install -r requirements.txt
    
  3. Run the server:
    python server.py
    

Running Options

  • Default stdio mode: python server.py
  • SSE mode (port 8000): python server.py --sse

Environment Variables

  • TRANSPORT_MODE: Set to sse to run the server in SSE mode. If not set, defaults to stdio mode.
  • HOST: When TRANSPORT_MODE is sse, specifies the host to bind the server to (e.g., 0.0.0.0). Defaults to 127.0.0.1.
  • PORT: When TRANSPORT_MODE is sse, specifies the port to run the server on (e.g., 8080). Defaults to 8000.

Example:

TRANSPORT_MODE=sse HOST=0.0.0.0 PORT=8080 python server.py

Cline Integration

To connect this MCP server to Cline using stdio:

  1. Add this configuration to your Cline MCP settings (cline_mcp_settings.json):
{
  "hko-server": {
    "disabled": false,
    "timeout": 3,
    "type": "stdio",
    "command": "python",
    "args": [
      "-m",
      "hkopenai.hk_climate_mcp_server"
    ]
  }
}

Testing

Tests are available in tests. Run with:

pytest

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选