KnowAir Weather MCP Server

The KnowAir Weather MCP Server bridges the gap between conversational AI assistants and real‑time environmental data by exposing a rich set of weather, air quality, and astronomical services through the Model Context Protocol. By wrapping the Caiyun Weather API in a modular MCP architecture, it delivers precise, location‑specific information that can be queried directly from an AI dialogue. This eliminates the need for developers to write custom API wrappers or manage authentication tokens, allowing assistants to answer questions like “Will it rain in Shanghai tomorrow?” or “What’s the AQI trend for Beijing over the next 24 hours?” with minimal effort.

At its core, the server offers real‑time weather, hourly and daily forecasts up to 15 days or 360 hours, and minute‑level precipitation predictions. Each tool returns a structured payload that includes temperature, humidity, wind speed, visibility, and comprehensive air‑quality metrics (PM2.5, PM10, O3, SO₂, NO₂, CO) alongside health‑related life indices. The data is automatically localized into Chinese with friendly formatting—emoji icons, color‑graded precipitation levels, and intuitive text descriptions—to make the assistant’s responses immediately useful to end users.

Key capabilities extend beyond simple forecast retrieval. The server provides hourly AQI trend analysis, health recommendations, and a comprehensive weather interface that aggregates real‑time data, forecasts, alerts, and astronomical information (sunrise/sunset, moon phases) into a single response. Historical weather queries cover the past 72 hours, while the air‑quality station forecast fuses monitoring‑station data for the first five days with API predictions thereafter, offering a seamless 15‑day outlook. The modular design—separate utilities, configuration, and Pydantic models—ensures that new features can be added with minimal friction.

For developers integrating AI assistants, the MCP server simplifies workflows: a single command launches the service, and the assistant can invoke any tool by name with just latitude and longitude. The server handles API authentication, rate limiting, and data validation automatically. This means developers can focus on crafting richer conversational experiences rather than plumbing external weather services.

In real‑world scenarios, the KnowAir MCP Server is invaluable for smart city dashboards, health advisory bots, travel planning assistants, and IoT applications that require up‑to‑date environmental context. Its ability to deliver granular, actionable insights—such as minute‑level precipitation for event planners or 15‑day AQI forecasts for public health alerts—makes it a standout solution in the MCP ecosystem.