#climate

MCP server for check Spanish climate data using AEMET web API

A Model Context Protocol (MCP) server for accessing the Climatiq API to calculate carbon emissions. This allows AI assistants to perform real-time carbon calculations and provide climate impact insights.

AI Agents to support sustainable spending on Bunq using MCP servers

Description KnowAir Weather MCP is a comprehensive weather and air quality Model Context Protocol (MCP) server. It provides real-time meteorological data and detailed air quality monitoring (PM2.5, PM10, O₃, SO₂, NO₂, CO, AQI – CN & US standards), along with short- and long-term forecasts and astronomical information. Built with Python 3.12+ and FastMCP, it integrates with the Caiyun Weather API to deliver high-precision environmental intelligence. Features • 🌤️ Meteorology: real-time temperature, humidity, wind, precipitation • 🏙️ Air Quality: pollutant concentrations + AQI (CN & US) • 📅 Forecasts: 72-hour hourly and 7-day daily predictions • 🌧️ Minute-level precipitation: hyper-local rain/snow timing (China cities) • 🌅 Astronomy: sunrise, sunset, moon phases • ⚠️ Alerts: real-time weather and air quality warnings Example Usage Ask Claude (with this MCP enabled): “What’s the current weather and air quality in Beijing?” “Get comprehensive environmental data for 116.4575, 39.9113”

Open-Meteo MCP Server - A comprehensive Model Context Protocol server that provides AI models with complete access to Open-Meteo's free weather API. Get real-time weather forecasts, historical climate data, air quality information, marine conditions, and seasonal projections through a simple MCP interface. Supports all major weather models (ECMWF, GFS, ICON, JMA, Météo-France) with data covering temperature, precipitation, wind, humidity, UV index, and specialized datasets for research and professional applications.