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KnowAir Weather MCP Server

@shuowang-ai

代码仓库

基本信息

分类

媒体与设计

传输方式

stdio

作者

shuowang-ai

提交者

王硕

关于 KnowAir Weather MCP Server

Description

#weather#air-quality#meteorology#forecast#environment#climate#pollution#aqi#mcp#real-time

KnowAir Weather MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "knowair-weather": {
      "command": "uv",
      "args": [
        "--directory",
        "/ABSOLUTE/PATH/TO/PARENT/FOLDER/Weather-MCP",
        "run",
        "mcp-knowair-weather"
      ],
      "env": {
        "CAIYUN_WEATHER_API_TOKEN": "YOUR_API_TOKEN_HERE"
      }
    }
  }
}

KnowAir Weather MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is KnowAir Weather MCP?

KnowAir Weather MCP is a Model Context Protocol server that provides real-time weather, air quality monitoring, short- and long-term forecasts, and astronomical information. Built with Python 3.12+ and FastMCP, it integrates with the Caiyun Weather API to deliver precise meteorological and environmental data.

How to use KnowAir Weather MCP?

Enable the MCP with a compatible host (e.g., Claude) and then ask natural language questions about weather, air quality, forecasts, or astronomy.

Key features of KnowAir Weather MCP

  • Real-time conditions: temperature, humidity, wind, precipitation
  • Air quality: PM2.5, PM10, O₃, SO₂, NO₂, CO with CN & US AQI
  • 72‑hour hourly and 7‑day daily forecasts
  • Minute‑level precipitation for hyper‑local rain/snow in Chinese cities
  • Astronomical data: sunrise, sunset, moon phases
  • Real‑time weather warnings and advisories

Use cases of KnowAir Weather MCP

  • Get current weather and air quality for any supported location
  • Plan activities using hourly and daily forecasts
  • Monitor hyper‑local precipitation timing in Chinese cities
  • Retrieve sunrise/sunset and moon phase for outdoor planning
  • Receive timely severe weather alerts

常见问题

1

What runtime dependencies does KnowAir Weather MCP require?

Python 3.12 or higher and the FastMCP library.

2

What data source does it use?

It pulls meteorological and environmental data from the Caiyun Weather API.

3

Does it support all locations globally?

Minute‑level precipitation forecasts are limited to Chinese cities; other features likely cover locations within the Caiyun API’s coverage.

4

How do I invoke it?

You interact via natural language through an MCP‑enabled client (e.g., ask “What’s the weather in Beijing now?”).

5

What kind of alerts does it provide?

Real‑time weather warnings and advisories for your selected location.

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