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 basic Model Context Protocol server implementation that demonstrates core MCP functionality including tools and resources. Provides weather alerts through the Weather API and serves as a learning example for MCP development.
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.
A lightweight Model Context Protocol (MCP) server that gives AI assistants the ability to fetch real-time weather data for any city using the OpenWeatherMap API.
A Model Context Protocol (MCP) server built with the mcp-framework to provide weather-related tools and data to AI clients. It enables integration of weather capabilities and custom tools into the MCP ecosystem for use with platforms like Claude Desktop.
