"How to connect to a MarkLogic server" matching MCP servers:

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.

Enables interactive access to JAXA's satellite observation data (precipitation, land surface temperature, NDVI, elevation, soil moisture) via Claude, providing tools for point time series, dataset information, and area image generation.

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

Enables an LLM to retrieve Israeli weather forecasts by controlling a real Chromium browser to search and scrape a weather site.

Enables language models to fetch weather forecasts for Israeli cities by automating a real browser with Playwright to interact with weather2day.co.il, including entering a city, selecting it from autocomplete, and extracting the forecast content.

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.

Enables LLMs to fetch live weather forecasts for Israeli cities by controlling a Chromium browser to scrape weather data from weather2day.co.il.

Archives Garmin Connect health data locally (steps, HR, sleep, body battery) as JSON, no cloud, and also pulls context data (weather, pollen, air quality). Built-in MCP server (with SQLite cache) exposes the archive for querying via LLM tool calls.

Enables pilots to assemble a preflight briefing per 14 CFR §91.103 by fetching weather, airport info, aircraft performance, fuel estimates, alternates, and NOTAMs.

A Model Context Protocol server that provides real astronomical data (planetary positions, lunar phases, space weather) with astrological interpretations to help users make decisions about deployments, incident analysis, and scheduling.

Enables users to check whether a beach suits a beach day or a surf session today or up to six days ahead, using Open-Meteo weather and marine forecasts scored by deterministic, documented rules. It exposes tools for raw hourly forecast data, suitability scores and verdicts by activity and skill level, and finding the best multi-hour window within a day.

A simple MCP server that exposes a get_weather tool to fetch real-time weather for any GPS coordinates using the Open-Meteo API, no API key required.

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

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

MCP server that integrates OpenWeatherMap API to fetch current weather for a specified city.

Enables users to geocode city names and retrieve current weather conditions plus a 1–7 day forecast through a public weather API, with no API key required, for MCP clients such as Claude Desktop or Cursor.

A lightweight Node.js server that connects Claude Desktop to Taiwan's Central Weather Administration (CWA) API, allowing users to retrieve weather forecast data for all cities and counties in Taiwan.

Enables users to ask for a city’s forecast for a specific day and receive a concise sentence, using Open-Meteo data through the get_forecast tool.

A Model Context Protocol (MCP) server that provides access to Japanese weather forecasts using the weather.tsukumijima.net API.

A Model Context Protocol server that provides real-time weather information and 5-day forecasts to AI assistants, supporting multiple languages and flexible units.

A Model Context Protocol server that provides comprehensive weather data and forecasts through the OpenWeatherMap API, enabling AI assistants to access real-time weather information, forecasts, air quality data, and location services.

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 Model Context Protocol server that enables AI assistants to fetch current weather, forecasts, and search for locations using WeatherAPI service through stdio communication.

A Node.js and TypeScript server project that provides a simple starter example with Express.js web server, supporting hot-reload, testing, and modular structure.

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

A Model Context Protocol server that provides current weather forecasts for specific locations and active weather alerts for US states.

Provides a Model Context Protocol server that enables large language models to query and retrieve real-time weather forecasts for cities and regions across China.

Enables AI agents to retrieve current atmospheric conditions for a specified location via OpenWeatherMap.

A Model Context Protocol server that provides tools to fetch weather alerts for US states and forecasts based on latitude/longitude coordinates using the US National Weather Service API.

A command-line tool that provides access to US weather data through a client-server architecture using MCP and Google's Gemini AI, allowing users to query weather alerts and forecasts using natural language.