"Créer des systèmes de prompt pour les modèles de langage (LLM)" matching MCP servers:

Provides access to official MeteoSwiss weather data, including regional reports, daily forecasts, and website search functionality across multiple languages. It enables AI assistants to retrieve real-time weather information and documentation from MeteoSwiss using the Model Context Protocol.

A local testing MCP server that provides weather information for L'Hospitalet de Llobregat using the Open-Meteo API, accessible from mobile devices via SSE transport on local networks.

Enables an LLM to retrieve Israeli weather forecasts by controlling a real Chromium browser to search and scrape a weather site.

Provides live weather radar and text-based radar maps for any location via the get_weather tool, returning structured data and character grid visualizations readable by both humans and LLM agents.

Enables an LLM to retrieve live weather forecasts for Israeli cities by using Playwright to drive a real browser and scrape data from weather websites without a traditional API.

MCP server that exposes real-time weather, forecasts, air quality, and multi-city comparison tools via the OpenWeather API for LLM agents.

An MCP server that provides weather forecast tools for Israel (via Playwright web scraping) and the USA (via NWS API), enabling LLM agents to answer weather queries in natural language.

Enables users to query weather information for Israel via Playwright browser automation and for the USA via a weather API, allowing an LLM to access real-time weather data and alerts.

Enables users to retrieve Israeli weather forecasts through browser automation, using Playwright to navigate a live weather site and provide page content to the LLM.

Provides an LLM with tools to retrieve US National Weather Service forecasts and active alerts, enabling natural-language answers about current conditions.

Enables users to retrieve current weather alerts for US states and detailed weather forecasts by geographic coordinates using the US National Weather Service API. Built with Node.js and TypeScript following Model Context Protocol standards for seamless LLM integration.

A Model Context Protocol compatible server that provides weather information for any city using Ollama's LLM capabilities through an exposed get-weather tool.

Enables MCP hosts like Cursor to retrieve US National Weather Service alerts and forecasts through tools, along with a resource and prompt for weather lookups.

Provides LLM-friendly weather tools and Norwegian place name resolution via MCP, enabling weather forecasts, air quality, marine conditions, and activity planning.

Provides forecast tools, a resource, and a prompt backed by Open-Meteo data for MCP clients.

Provides intelligent weather services through an orchestrated multi-server architecture with Docker support, enabling natural language weather queries, forecasting, and alert monitoring powered by local LLM integration.

An MCP server that enables AI assistants to call weather tools, read resources, and use prompt templates for live weather data integration.

Provides weather data from OpenWeatherMap API through MCP tools and a REST API with OpenAPI support. Enables LLM agents to retrieve current weather, forecasts, and temperature ranges by city or coordinates.

Provides LLM context on U.S. national parks by integrating National Park Service, Recreation.gov, and weather APIs, enabling queries about park info, trails, alerts, events, weather forecasts, and more via tool calls.

This MCP server provides tools like weather lookup and follows the Model Context Protocol for tool calling, resource sharing, and prompt templates.