"Building Agentic AI Solutions" matching MCP servers:

A simple MCP server demonstrating tools, resources, and prompts for weather data, built during an Agentic AI Internship.

Provides real-time air quality data (US AQI, PM2.5, PM10, ozone, NO2, SO2, CO) for any city via natural language, using free Open-Meteo data and a single tool.

One-call Australian weather plumbing for current and historical data — cited responses for practical analysis, not a data broker.

Lightweight MCP server that exposes tools for system information and weather lookup, designed for agent integration via stdio.

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.

Provides current weather alerts for specified locations to AI assistants through the Model Context Protocol.

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.

Provides access to comprehensive weather data including real-time conditions, forecasts, historical weather, marine data, astronomy information, and weather alerts through the Weatherapi.com API.

Provides current weather data, multi-day forecasts, hourly forecasts, and city lookup functionality using the QWeather API. Supports customizable units, languages, and multiple location formats including coordinates and city IDs.

Provides access to comprehensive weather data including current conditions, forecasts, air pollution levels, US weather alerts, earthquake information, and country details using coordinates, place names, or zip codes.

A FastMCP server providing real-time weather, news retrieval, and local note management tools for autonomous CrewAI agents. It enables context-aware multi-agent workflows with observability and high-speed inference integration.

Provides travel planning tools for Cox's Bazar, Bangladesh, including weather forecasts, AI-powered itinerary generation, and pre-configured travel planning prompts.

Predicts the likelihood of school closures due to snowfall and severe winter weather using real-time weather data and machine learning algorithms.

Enables dynamic, real-time weather alerts and forecasts from the National Weather Service through AI agentic tool calls.

A comprehensive template for building MCP servers with TypeScript, Fastify, and Docker support. Includes tools for calculations and weather data, resources for server information, and prompts for greetings with full development tooling.

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.

An MCP server that provides access to current weather data and 5-day forecasts via the Open Weather13 API. It enables users to retrieve weather information using city names or geographic coordinates across various languages.

A modular MCP server that connects to external APIs, providing tools for weather data, user management, and company operations. Features a scalable architecture with TypeScript support, HTTP client abstraction, and robust error handling.

Provides access to weather information by location using the API Ninjas Weather API, supporting queries by coordinates, zip code, city, state, and country.

Hosted MCP server for weather forecast data. Enables AI agents to discover datasets, build validated API requests, and execute live weather queries after OAuth.