"How to send OS notifications" matching MCP servers:

Solar vitamin D: whether the sun where you are can make vitamin D right now, how many minutes your Fitzpatrick skin type needs for a target dose, which months of the year synthesis is possible at your latitude, and how much a sun session produced. Computed from solar geometry, a clear-sky UV model with ozone and altitude, and live Open-Meteo UV data.

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.

Tracks how long you've been indoors, nags you to touch grass, detects frustration, and recommends nearby parks with live weather.

MCP server that provides Korean weather information using grid coordinates and the Korea Meteorological Administration API, allowing users to query current weather conditions and forecasts for specific locations in Korea.

Enables users to get weather alerts and forecasts through natural language interactions. Provides real-time weather information and alert notifications via MCP tools.

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.

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 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.

A learning project demonstrating how to build MCP servers with Python, featuring weather query tools that showcase custom tool creation, configuration, and integration with AI assistants.

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

Enables AI agents to fetch real-time weather data for any location using the OpenWeatherMap API. Demonstrates how to build a simple MCP server that exposes weather information as a tool for LLMs.

An MCP server that provides web search capabilities through the Tavily API and weather data retrieval tools. It demonstrates how to integrate external APIs into AI applications and build agentic workflows with LangGraph.

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.

WeatherAI MCP server — 11 live weather tools for Claude Desktop, Cursor, Windsurf, and any MCP-compatible AI assistant

Enables real-time China nationwide air quality monitoring via CNEMC, with AQI, pollutant concentrations and levels, quality ratings, city rankings, and station-level details.

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.

Provides aviation weather data including METAR, TAF, PIREPs, AIRMET/SIGMET, station info, and winds aloft forecasts.

Demonstrates how to integrate Model Context Protocol with Server-Sent Events (SSE) in a FastAPI web application, including a weather service example with tools for getting forecasts and alerts.

Enables AI agents to retrieve real-time weather conditions and 7-10 day forecasts for any location via Open-Meteo, with no API key required.

Provides access to NOAA National Weather Service forecasts and alerts. Enables finding weather observation stations in US states via the get_stations tool.