MCP Servers
Caiyun Weather MCP
Last updated December 15, 2024
An MCP server that integrates Caiyun (ColorfulClouds) Weather API with AI assistants for real-time forecasts and air quality data.
Caiyun Weather MCP is an open-source Model Context Protocol server that provides AI assistants with real-time weather and environmental data via the Caiyun Weather API. It allows developers and end-users to query live conditions, hourly forecasts, and weekly outlooks using natural language prompts inside MCP-compatible environments. The server supports detailed weather information such as temperature, humidity, wind, precipitation, and air quality metrics (PM2.5, PM10, O3, SO2, NO2, CO) along with AQI indexes for China and the USA. It also provides life indices such as UV levels and comfort ratings, making it valuable for applications that require precise weather awareness. Easy to configure with Claude Desktop or local dev environments, the server enables seamless weather insights in AI workflows.
Key features
- get_realtime_weather: Retrieve real-time weather conditions
- Temperature, humidity, wind, precipitation, and visibility data
- Air quality data (PM2.5, PM10, O3, SO2, NO2, CO) and AQI (China/US)
- get_hourly_forecast: 72-hour hourly forecast with rain probability
- get_weekly_forecast: 7-day daily forecast with weather conditions
- Life indices (UV, Comfort levels)
- API token authentication for secure access
- Easy integration with Claude Desktop and other MCP environments
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