"Sailfish OS" matching MCP servers:

MCP server providing Korean weather forecasts from the KMA (short-term, hourly, daily) and timezone utilities (current time, conversion, lookup) using only standard Python zoneinfo.

Provides weather information for the United States through the Model Context Protocol. Enables users to query current weather conditions and forecasts for US locations.

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.

A remote MCP server that exposes a get_weather tool for real-time current weather queries of any city via the free wttr.in API, supporting Streamable HTTP transport.

Provides real-time weather data, forecasts, alerts, and location comparisons via the OpenWeatherMap API.

Provides real-time hurricane tracking, 5-day forecast cones, location-based alerts, and historical storm data from NOAA/NHC through MCP tools for AI assistants.

Enables AI assistants to list demo inverter sites, inspect production, pull weather context, and get deterministic panel-cleaning recommendations over MCP using synthetic solar operations data.

Production-ready integration of Microsoft Agent Framework with MCP, enabling AI agents to access tools like weather queries, calculations, and Taiwan stock prices through SSE/HTTP streaming transport with Azure OpenAI GPT-4 backend.

基于HelloAgents框架的天气查询MCP服务器，支持12个中国主要城市实时天气查询，使用wttr.in API无需密钥。

A weather simulation MCP server that provides deterministic mock weather data for any city, including current conditions and forecasts.

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.

Enables users to retrieve real-time weather, multi-day forecasts, and air quality data for cities worldwide through MCP tools in Cursor or other clients, using free Open-Meteo data with no API keys required.

Provides weather forecasts, current conditions, and alerts for US locations using the National Weather Service API.

A learning-oriented MCP server that provides weather forecast tools for travel planning, using OpenWeatherMap and geocoding APIs.

MCP server that provides statistically rigorous weather and climate context by exposing the Baseline API as agent tools, enabling queries about climate conditions and comparisons against historical data.

Provides real-time weather data by exposing a get_current_weather tool via MCP, using the Open-Meteo API over stdio JSON-RPC.

Enables comprehensive travel planning by providing tools for flight and accommodation searches, real-time currency exchange, and weather forecasting. It also allows users to calculate estimated trip budgets based on destination, duration, and traveler preferences.

A TypeScript-based MCP server that provides simulated weather data including current conditions, forecasts, alerts, and location search functionality through both MCP protocol and HTTP API endpoints.

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.

Enables to perform mathematical calculations, retrieve weather information, and manage files through a standardized MCP interface, showcasing best practices for building MCP servers.