"Converting User Requirements to Technical Specifications" matching MCP servers:

Enables travel-related queries and planning including weather, train and flight information, itinerary generation, and travel knowledge retrieval via RAG, using an AI agent with MCP protocol.

Enables AI assistants to look up live weather data, including current conditions and up to 16-day forecasts, by converting place names to coordinates and fetching data from the Open-Meteo API without requiring an API key.

Enables retrieving Israeli weather forecasts through real browser automation and answering user questions conversationally via Gemini.

Travel planning tools from Plantrip: generate day-by-day itineraries, AI packing lists, weather insights, and trip cost estimates. Every itinerary gets a shareable page the user owns; free API key, no subscription.

A Model Context Protocol server that provides weather information and forecasts based on user location or address input.

A modular MCP server that connects to external APIs, providing tools for weather data, user management, and company operations. Features a scalable architecture with TypeScript support, HTTP client abstraction, and robust error handling.

Provides comprehensive functionality including weather data, system utilities, Azure cloud management, and AI-powered image generation and editing. Features interactive parameter selection through MCP elicitation for enhanced user experience.

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.

Provides personalized recommendations for optimal outdoor exercise times by integrating weather data, Garmin Connect training schedules, and user performance metrics.

Enables users to produce explainable UK garden watering recommendations as deterministic millimetres, litres and runtime from self-reported garden details or an optional postcode, without controlling irrigation hardware.

Enables AI assistants to fetch real-time weather data, forecasts up to 10 days, and compare weather conditions between cities using WeatherAPI.com with support for both Celsius and Fahrenheit units.

Wraps the Tomorrow.io Weather API to provide weather data, allowing AI agents to query forecasts and historical conditions via natural language.

Hosts MCP tools for weather queries and On-Behalf-Of flow, enabling Copilot to retrieve weather data and user info via Azure Functions.

Enables querying 7-day weather forecasts for Chinese cities and regions by scraping China Weather website data. Supports both user input and AI model intelligent city/region parameter matching.

Enables AI assistants to list demo inverter sites, inspect production, pull weather context, and get deterministic panel-cleaning recommendations over MCP using synthetic solar operations data.

Enables LLMs to retrieve 24-hour weather forecasts and city information through natural language queries using city names or coordinates.

Provides real-time NOAA space weather data (solar flares, Kp index, solar wind) and analyzes HF radio propagation conditions for amateur radio operators to determine optimal frequency bands.

A server for querying surf spot data and searching spots, with tools to list regions, spots, get spot info, find spots by criteria, and get mock forecasts.

Enables LLMs to fetch real-time weather data for any city and perform basic arithmetic operations like addition.

An MCP server that generates random numbers by using national weather data as entropy seeds. It provides a unique way to generate random values through weather API integration within the Model Context Protocol.