What runtime dependencies does KnowAir Weather MCP require?
Python 3.12 or higher and the FastMCP library.
@shuowang-ai
Basic information
Description
Add this server to your MCP-compatible client using the configuration below.
{
"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"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
Enable the MCP with a compatible host (e.g., Claude) and then ask natural language questions about weather, air quality, forecasts, or astronomy.
Python 3.12 or higher and the FastMCP library.
It pulls meteorological and environmental data from the Caiyun Weather API.
Minute‑level precipitation forecasts are limited to Chinese cities; other features likely cover locations within the Caiyun API’s coverage.
You interact via natural language through an MCP‑enabled client (e.g., ask “What’s the weather in Beijing now?”).
Real‑time weather warnings and advisories for your selected location.

AI video clipping MCP server for scored, captioned vertical shorts, with 29 documented tools and dubbing in 19 languages. Hosted OAuth connection with a local installation option.

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Build TikTok LIVE overlay widgets from Claude or ChatGPT. Describe a widget and the assistant writes it, previews it with sample events and places it on your TikTok LIVE Studio or OBS overlay.
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