"3D content, models, or technology" matching MCP servers:

Enables AI models to access Swiss weather and climate data from MeteoSwiss, including current observations, forecasts, and warnings.

Enables language models to fetch weather forecasts for Israeli cities by automating a real browser with Playwright to interact with weather2day.co.il, including entering a city, selecting it from autocomplete, and extracting the forecast content.

Provides Open-Meteo weather tools that return both structured forecast data for the model and a weather card (image link or text) for the user, plus geocoding of place names to coordinates. Requires no API key and works over stdio or streamable HTTP.

Official aviation data MCP by Flight Master DAST (航班管家 DAST), providing flight status, route search, onboard comfort, delay and cancellation risk, airport weather forecasts, and real-time or historical flight trajectories.

MCP server connecting AI models to SRG SSR public APIs – weather, TV/radio metadata, program guide and Swiss votations/elections since 1900.

Enables querying AgroClimate company data via natural language through ChatGPT or Claude.

Combines UK Met Office weather forecasts with travel routing to provide outfit recommendations for walking, cycling, or driving journeys.

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.

Enables riders to ask an assistant for wind-sport forecasts at a named spot, combining AROME, ICON, ECMWF, GFS, UKMO and other models into one hourly table with consensus, spread, gust diagnosis, and onshore/offshore safety relative to the beach orientation. It also finds spots, lists which models apply locally, and returns rideable daytime windows within a given knot range.

Provides weather forecast data for locations in China using the HeFeng Weather API, with real-time, hourly, or daily forecasts and location-based queries.

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.

Provides comprehensive access to Open-Meteo APIs for weather forecasts, historical data, air quality, and marine conditions. It enables LLMs to query specialized meteorological models, perform geocoding, and access advanced climate or flood projections.

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

Provides a Model Context Protocol server that enables large language models to query and retrieve real-time weather forecasts for cities and regions across China.

A demonstration project for Model Context Protocol (MCP) that integrates weather services with multiple AI models (Claude, GPT, Gemini), enabling natural language queries for weather alerts and forecasts.

Provides tools for generating optimized images via Google's Gemini model and fetching weather forecasts and alerts from the National Weather Service. It enables users to create visual content and retrieve environmental data seamlessly within MCP-compatible clients.

A simple demonstration server for the MCP Python SDK that provides weather alerts for locations, allowing users to query weather information through Claude Desktop or Cursor.

A Python-based MCP server that predicts tomorrow's weather. It can be used remotely via uvx or locally with uv.

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.

A cross-platform MCP server that provides weather forecasts by coordinates, location name, or IP address without requiring API keys. It leverages Open Meteo and OpenStreetMap to deliver fast, single-query weather lookups.