"Automating a QA End-to-End Workflow" matching MCP servers:

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 querying high-end gravel routes with micro-elevation maps, weather pacing, and MCP integration for AI agents to scout route gaps and identify locked gates.

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.

An MCP server that uses Playwright to scrape Israeli weather forecasts from weather2day.co.il by automating a real browser, enabling an LLM to answer questions about current conditions and hourly forecasts for Israeli cities.

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.

Enables LLMs to retrieve up-to-date weather forecasts for Israeli cities from weather2day.co.il using Playwright and MCP, with Hebrew city name support and a sequential tool workflow.

An MCP server that fetches US weather forecasts via API and Israel weather forecasts by automating a browser with Playwright to scrape a weather website.

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.

MCP server enabling LLMs to fetch Israeli weather forecasts by automating a browser with Playwright to scrape weather2day.co.il.

SimBrief MCP Server brings flight planning data directly into your AI workspace. Access your SimBrief flight plans (OFP), retrieve real-time METAR weather reports for any airport, and fetch pilot information - all through natural conversation. Built for virtual pilots who want to streamline their pre-flight briefing workflow in Microsoft Flight Simulator, X-Plane, and other flight simulation platf

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.

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.

An MCP server that provides real-time weather data for Israel by automating browser searches via Playwright. It allows LLMs to get current forecasts for Israeli cities through natural language queries.

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

Enables LLMs to query real-time weather data in Israel by automating a browser to scrape weather2day.co.il.

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

Enables users to retrieve current weather information for any city location. Provides a simple interface to fetch weather data through natural language queries.

A basic MCP server template that can be integrated with Cursor to enable AI tools like weather information retrieval using Claude-3.7-sonnet model.

A simple MCP server that provides a tool to fetch current weather information for cities using the Open-Meteo API, communicating through stdin/stdout.

A simple Node.js MCP server that exposes three tools: greet for personalized messages, calculate for basic math operations, and weather_info for mock weather data retrieval.

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.

A simple service using Model Context Protocol (MCP) to provide weather information for multiple cities including Fukuoka, Tokyo, Osaka, Moscow, and New York.

A simple educational MCP server implemented in Node.js that allows users to fetch weather information for cities using the Open-Meteo API.

A minimal MCP server built with TypeScript exposing a single mocked weather tool over stdio transport.

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.

Enables agents to access free price and model lookups plus paid web search, page reading, weather, risk, social, crypto-market, funding-rate, ENS, and token-price tools through a hosted MCP endpoint, with charges bounded by an API key’s limits.