"weather" matching MCP servers:

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

Provides weather forecasts and climate history via Open-Meteo, including daily and hourly outlooks, typical past weather for future trip dates, location disambiguation, and ranked recommendations for pleasant outdoor days.

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.

A production-grade MCP server that provides real-time weather data and demonstrates the complete MCP protocol surface including tools, resources, prompts, and structured output.

A service that provides real-time weather data, forecasts, and alerts for US locations through natural language queries in the Cursor IDE.

Enables retrieval of weather information for major cities across Japan using the Japan Meteorological Agency API. Supports weather overviews, precipitation probability, and wind speed data with both local and remote OAuth 2.0 authenticated deployment options.

Enables querying hyperlocal weather forecasts and historical data from multiple sources (NWS, Open-Meteo, PurpleAir) through natural language, including current conditions, forecasts, source comparisons, and accuracy metrics.

A FastMCP server that provides current weather, forecasts, and rule-based umbrella/jacket recommendations via Open-Meteo, deployable to Databricks Agent Bricks.

Provides current weather conditions and 5-day/3-hour forecasts for any location using OpenWeatherMap, accessible through natural language in MCP clients.

A Model Context Protocol (MCP) server that enables AI assistants and LLMs to access real-time weather data and forecasts by connecting to the OpenWeatherMap API.

MCP server exposing weather tools (current conditions, forecasts, umbrella prediction, travel advice, city comparisons) via Open-Meteo, designed for integration with Databricks Agent Bricks.

Exposes weather data from the free Open-Meteo API via decorator-driven MCP tools with Zod schemas, supporting stdio and HTTP transports.

An MCP server that exposes geocoding, current weather, and multi-day forecast as typed, structured tools for AI agents via the Open-Meteo API.

A weather query MCP server providing current weather, forecasts, temperature conversion, and travel weather advice using wttr.in without API tokens.

Provides real-time weather alerts from the National Weather Service API via the Model Context Protocol. It allows LLMs to fetch active alerts for specific US states using both STDIO and SSE transport protocols.

Provides hourly weather forecasts using the AccuWeather API, including current conditions and 12-hour forecast with precipitation details.

A step-by-step workshop for building an MCP server that provides weather tools to AI agents, enabling secure API key usage.

Local MCP server that provides current weather, forecast, summary, and weather comparison using Yandex Weather API with caching and validation.

Enables users to fetch current weather conditions for any city worldwide and display weather information as native system notifications on macOS. Provides human-readable weather data including temperature, conditions, humidity, wind speed, and atmospheric pressure.

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.