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 training MCP server built with TypeScript that provides basic tools (add, get_weather) and a resource (favorite-cities) for use with Claude Desktop. Weather data is fetched from Open-Meteo without requiring an API key.
A proof-of-concept MCP server that provides weather information using the Open-Meteo API, with tools for greeting, getting weather by coordinates, and by location name.
An MCP server that wraps the Ambient Weather REST API. Query your personal weather stations conversationally from Claude Code, Claude.ai, or any MCP-compatible client.
An experimental MCP server that provides weather information tools, including temperature lookup via wttr.io, along with note-taking capabilities for learning MCP server development with GitHub Copilot.
