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by xuezhijian • Geospatial & Location
A Model Context Protocol server that provides future 24-hour weather forecasts and city information for LLMs and agents.
Fetch precise 24-hour weather forecasts for planning tasks like scheduling outdoor activities or recommending clothing.
Resolve city information or weather by name or coordinates to enrich responses with local context.
A lightweight, self-hostable MCP weather server integrated via uvx, Docker, or pip for development and testing.
This MCP server lets language models query weather forecasts (future 24 hours) and city information by city name or latitude/longitude. It exposes a tool named get_24h_weather that accepts locations like "北京" or "116.41,39.92" and returns structured forecast data. The project is easy to integrate via uvx, Docker, or pip, and includes instructions for debugging with the MCP inspector. Distributed under the MIT license, it's intended to be a lightweight, localizable weather data source for agent workflows.
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