"How to fill out a webpage form" 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.

Provides real-time weather temperature queries for any city with an interactive UI form, using Open-Meteo API (no API key needed).

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 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.

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

Enables AI assistants to access real-time weather data by city and manage HR operations including job applications, recruitment tracking, and interview scheduling through a unified, modular interface with live updates via SSE.

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.

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.