A straightforward weather data provider that gives AI agents three core operations: current conditions, forecasts, and historical lookups. Built on the MCP protocol with stdio transport, so you drop it into Claude Desktop or any MCP client and immediately get structured weather intelligence without wrestling with REST APIs or rate limits. The README mentions agricultural alerts and severe warnings, but the three main tools are what you'll use day to day. Useful when you're building assistants that need to check weather before scheduling, compare historical patterns, or pull forecast data into planning workflows. Ships as a PyPI package, so installation is just pip or uvx.
mcp-name: io.github.CSOAI-ORG/weather-ai-mcp
Weather intelligence tools - current conditions, forecasts, historical data, agricultural alerts, severe warnings
weather-ai-mcp MCP — AI-powered automation tool
weather-ai-mcp MCP — AI-powered automation tool. MIT.
# Install via pip
pip install weather_ai_mcp
# Or install via Smithery
npx -y @smithery/cli@latest install weather-ai-mcp --client claude
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Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:
{
"mcpServers": {
"weather-ai-mcp": {
"command": "uvx",
"args": ["weather-ai-mcp"]
}
}
}
Or: pip install weather-ai-mcp then run the weather-ai-mcp command (stdio transport).
Once configured, ask your assistant, for example:
get_current_conditions to …"get_forecast to …"get_historical_weather to …"