A production-ready MCP server that provides real-time weather information, forecasts, and alerts to LLM clients using the Open-Meteo API, with support for 26+ global cities, dual transport (STDIO/HTTP), and Docker deployment.
A Docker-based MCP server that provides current weather information for cities worldwide. Enables AI assistants like Claude to fetch temperature, weather conditions, and humidity data through a standardized interface.
AI-powered weather aggregation from 6 sources with intelligent deduction, working as both a REST API and MCP Server for AI assistants like Claude and Cursor.
A Python-based MCP (Model Context Protocol) server that enables weather alerts and conversational AI interactions, with Docker support for easy deployment.
A production-grade Model Context Protocol server that provides real-time weather data and 5-day forecasts using the Open-Meteo API. It offers comprehensive meteorological metrics supported by Redis caching and built-in performance monitoring tools.
A containerized server that provides weather tools for AI assistants, allowing them to access US weather alerts and forecasts through the National Weather Service API.