"How to Test Kubernetes Network Policies" matching MCP servers:

Enables users to get the current temperature for a city through a single MCP tool, using Open-Meteo data with no API key required.

A local testing MCP server that provides weather information for L'Hospitalet de Llobregat using the Open-Meteo API, accessible from mobile devices via SSE transport on local networks.

Enables weather queries using Baidu Maps API, providing real-time weather conditions, 5-day forecasts, hourly predictions, lifestyle indices, and weather alerts. Supports queries by administrative district codes or coordinates with multiple coordinate systems.

Provides access to weather and alerts through MCP tools, resources, and a prompt, using streamable HTTP transport with bearer token authentication.

Provides personalized store greetings combined with real-time weather information based on store location. Includes an admin web interface for managing stores with address autocomplete and map-based location selection.

Provides current weather information and forecasts for major cities through MCP tools and resources. Supports getting weather data, multi-day forecasts, and listing available cities with mock data for demonstration purposes.

Enables temperature conversion from Fahrenheit to Celsius through HTTP requests. Provides a simple MCP tool for temperature unit conversion with AWS Lambda deployment support.

Provides weather data, analysis, and report saving through MCP tools, with a Next.js chat interface.

Provides real-time weather information and multi-day forecasts for global locations using city names, coordinates, or ZIP codes. It includes tools for current conditions, forecasting, and weather summaries designed for activity planning.

A Model Context Protocol server that provides tools for weather forecasting and Gmail interaction.

Enables users to get current weather information for any city using the Open-Meteo API. Provides detailed meteorological data including temperature, precipitation, day/night status, and hourly forecasts through natural language queries.

Enables travel-related queries and planning including weather, train and flight information, itinerary generation, and travel knowledge retrieval via RAG, using an AI agent with MCP protocol.

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.

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.

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 users to produce explainable UK garden watering recommendations as deterministic millimetres, litres and runtime from self-reported garden details or an optional postcode, without controlling irrigation hardware.

A minimal Express-based MCP server that exposes a weather tool through HTTP endpoints, demonstrating how to implement the Model Context Protocol with streamable HTTP transport.