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Enables weather data retrieval and analysis through an MCP server interface with support for local file operations.

A Model Context Protocol server that provides current weather forecasts for specific locations and active weather alerts for US states.

A Model Context Protocol server that provides weather information using the Open-Meteo API, allowing users to get current weather for specific cities and retrieve weather data for date ranges.

A Model Context Protocol (MCP) server that provides real-time weather alerts and forecasts from the US National Weather Service.

Provides real-time weather data and current conditions for major Chinese cities and global locations using the wttr.in API. This HelloAgents-based server enables querying of temperature, humidity, and weather status without requiring an external API key.

Provides weather forecast and alert data for US locations through the National Weather Service API, enabling access to real-time weather alerts by state and detailed forecasts by coordinates.

Demonstrates creating and connecting an MCP weather server using FastMCP, with support for integration with Claude Desktop, Cursor, and local LLMs to query weather alerts and information.

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 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.

Provides weather information including alerts and forecasts for any location, web search capabilities through Brave Search API, and basic math operations. Includes weather-based event suggestions to help users plan activities based on current conditions.

Enables users to retrieve current weather information for any city location. Provides a simple interface to fetch weather data through natural language queries.

An MCP server integrated with the QWeather API that provides real-time weather forecasts and meteorological warnings for AI assistants. It enables users to query current conditions and disaster alerts for specific cities or coordinates.

Provides weather information tools including US state weather alerts and location-based forecasts using latitude and longitude coordinates.

Enables AI assistants to fetch current weather conditions and forecasts for any city using the Open-Meteo API. Provides temperature, precipitation, and hourly forecast data through natural language queries.

Provides AI assistants with tools to retrieve current weather, 7-day forecasts, and city-to-city weather comparisons using the Open-Meteo API. It features specialized resources for weather data and prompts for generating weather summaries without requiring an API key.

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.

Enables users to get weather information and Islamic prayer (Namaz) times, along with motivational prompts and random quotes. Integrates with OpenWeatherMap and Aladhan APIs to provide location-based weather data and prayer schedules.

An MCP server implementation that allows users to fetch and display weather information for specified cities, including temperature, humidity, wind speed, and weather descriptions.

Provides global weather query services with features including real-time weather, weather forecasting, and multi-city weather comparison.

A TypeScript-based MCP server that provides weather information through resources and tools, allowing users to access current weather data and forecast predictions for different cities.