"Weather Inquiry" matching MCP servers:

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.

Search 8,000+ corporate event venues across 40+ cities. Tools for venue search by capacity/category, pricing guides, expert advice articles, and inquiry handoff. Read-only, PII-redacted, UTM-attributed.

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

Provides live Greek weather data from EMY, including forecasts, alerts, marine bulletins, warnings, and climate records. Supports location-based queries by name, ID, or coordinates without requiring an API key.

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 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.

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

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.

A lightweight server that exposes weather-related tools (get_coordinates and get_forecast) using the Modular Command Protocol, designed for integration with AI agents and LLMs.

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

A JavaScript ES Modules server that provides weather information including alerts and forecasts for US locations using the National Weather Service API.

Provides real-time weather forecasts and alerts by fetching data from the National Weather Service API, allowing Claude to answer weather-related questions with up-to-date information.

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.

Adapts the HeFeng QWeather MCP server for ModelScope cloud hosting, allowing weather queries through stdio or HTTP with a default stdio entry.

Provides weather data from the Thai Meteorological Department (TMD) with tools for querying stations, weather by province, and summaries, deployable via Docker or remote server.

Provides weather forecasts and active alerts for US locations using the National Weather Service API. It supports both local stdio and remote HTTP/SSE transport modes for flexible integration with MCP clients.