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.
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 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 that enables AI assistants and LLMs to access real-time weather data and forecasts by connecting to the OpenWeatherMap API.
This is a Model Context Protocol (MCP) server that provides weather information using the National Weather Service (NWS) API.
Features
Get weather alerts for a US state
Get weather forecast for a specific location (using latitude and longitude)
A simple Model Context Protocol server that provides real-time weather data to AI agents like GitHub Copilot, allowing users to get current weather information for any city through natural language queries.