"How to create iOS apps" matching MCP servers:

A FastMCP server that exposes interactive prefab apps for quizzes, weather dashboards, and live news curation, along with resources and prompts. It lets users take quizzes, check weather, and get news briefings through natural language.

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.

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

Enables querying Polish air-quality data from GIOŚ stations by providing tools to list stations, get sensor readings, and retrieve the composite air-quality index.

Enables access to 11 free public APIs including weather, country info, NASA data, dictionary, and more, with zero configuration and no API keys required.

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.

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.

A minimal MCP server using FastMCP to demonstrate tool creation, including a get_weather example.

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.

Provides tools for generating optimized images via Google's Gemini model and fetching weather forecasts and alerts from the National Weather Service. It enables users to create visual content and retrieve environmental data seamlessly within MCP-compatible clients.

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.

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.

A TypeScript-based MCP server that facilitates note management and weather queries. It enables users to create, access, and summarize notes while providing integration for services like flomo.

MCP tools for geo, email, phone, company, DNS, FX, equities, weather, tax, economics, and intelligence — streamable HTTP, one API key.

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.