"How to run a Windows command" matching MCP servers:

Provides LLMs with real-time, historical, and forecast Australian weather data via Open-Meteo, using plain-English location keys and fuzzy search.

Enables scheduling of construction works against weather forecasts, using deterministic tools to check weather suitability, estimate curing times, and place dependent tasks into the earliest non-prohibited time windows.

Solar vitamin D: whether the sun where you are can make vitamin D right now, how many minutes your Fitzpatrick skin type needs for a target dose, which months of the year synthesis is possible at your latitude, and how much a sun session produced. Computed from solar geometry, a clear-sky UV model with ozone and altitude, and live Open-Meteo UV data.

Tracks how long you've been indoors, nags you to touch grass, detects frustration, and recommends nearby parks with live weather.

Lightweight MCP server that exposes tools for system information and weather lookup, designed for agent integration via stdio.

Provides current weather alerts for specified locations to AI assistants through the Model Context Protocol.

A simple server that implements the Model Context Protocol, allowing AI models like Claude to fetch real-time weather information for any location using the wttr.in API.

A TypeScript-based MCP server that provides simulated weather data including current conditions, forecasts, alerts, and location search functionality through both MCP protocol and HTTP API endpoints.

A lightweight server that exposes weather-related tools (get_coordinates and get_forecast) using the Modular Command Protocol, designed for integration with AI agents and LLMs.

A learning project demonstrating how to build MCP servers with Python, featuring weather query tools that showcase custom tool creation, configuration, and integration with AI assistants.

Enables AI agents to fetch real-time weather data for any location using the OpenWeatherMap API. Demonstrates how to build a simple MCP server that exposes weather information as a tool for LLMs.

An MCP server that provides web search capabilities through the Tavily API and weather data retrieval tools. It demonstrates how to integrate external APIs into AI applications and build agentic workflows with LangGraph.

Provides real-time weather information and multi-day forecasts using the Open-Meteo API through a robust, enterprise-grade architecture. It enables AI assistants to retrieve current conditions, 7-day forecasts, and contextual weather data for any location.

Demonstrates how to integrate Model Context Protocol with Server-Sent Events (SSE) in a FastAPI web application, including a weather service example with tools for getting forecasts and alerts.

A basic MCP server implementing a weather tool using Next.js and the Vercel MCP adapter.

Enables AI agents to retrieve real-time weather conditions and 7-10 day forecasts for any location via Open-Meteo, with no API key required.

A weather intelligence MCP server providing current conditions, forecasts, historical data, agricultural alerts, and severe warnings.

Enables AI assistants to access free, open agronomic data for field briefings, spray windows, water balance, pest pressure, and more, using only public data sources without API keys.

MCP server for NASA POWER climate data, offering a climatology tool to retrieve long-term monthly averages for any coordinate. Supports natural language queries through the Pipeworx gateway.

Enables access to EPA AirNow real-time AQI and forecast data for US locations through a single tool, with a free API key.