sg-weather-mcp
Wraps NEA's 2-hour weather forecast API to provide rain alerts for central Singapore areas, enabling automations for rain detection.
README
SG Weather MCP (rain alerts for central Singapore)
A small MCP server that wraps NEA's 2-hour Weather Forecast API and filters it to the central-Singapore areas relevant to someone living near Jalan Kukoh / Chinatown who is usually around the city. Built for use with Poke.com automations over streamable HTTP.
Data source: data.gov.sg dataset d_3f9e064e25005b0e42969944ccaf2e7a
(NEA / Meteorological Service Singapore, 2-hour forecast).
Tools
check_rain_central
The main tool for a rain-alert automation. Fetches the live 2-hour forecast, filters to your central areas, and reports whether any show rain, showers, or thundery weather.
Key fields in the response:
rain_expected(bool) — true if ANY checked area is wetwet_areas— list of{area, forecast}currently wetall_areas— every checked area with its forecastmatched_areas/unmatched_areas— which requested names exist in the feedvalid_period— forecast validity windowretrieved_at— UTC timestamp
Optional inputs: areas (override the default list) and response_format
(markdown or json).
Default central areas: City, Chinatown, Bukit Merah, Queenstown, Newton,
Orchard, Bukit Timah, Kallang, Marina Bay, Marina South, Tanjong Pagar, Bugis.
(Any name not present in the live NEA feed is ignored and reported back under
unmatched_areas, so the list is safe to tune.)
list_all_areas
Lists every NEA area (~47) with its current forecast. Useful for discovering exact area names or a Singapore-wide view.
Deploy to Render
- Push this folder to a GitHub repo.
- In Render: New > Web Service > connect the repo (or use the included
render.yamlvia New > Blueprint). - Render auto-detects Python. Build:
pip install -r requirements.txt. Start:python server.py. No environment variables needed — Render'sPORTis picked up automatically. - After deploy, your MCP endpoint is:
https://<your-service>.onrender.com/mcp
Connect in Poke.com
- In Poke, add a custom MCP connection pointing at the
/mcpURL above. - Create an automation on a schedule (e.g. every 30 minutes) that calls
check_rain_central. - In the automation logic, message yourself when
rain_expectedistrue, includingwet_areasso you know which spots.
Local test
python -m venv .venv && . .venv/bin/activate
pip install -r requirements.txt
PORT=8123 python server.py
# then POST an MCP initialize to http://localhost:8123/mcp
Note: the NEA API is only reachable from an environment with open outbound internet (like Render), not from restricted sandboxes.
推荐服务器
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。