"A server to manage Minecraft server platforms (MCP servers)" 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 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 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.

This MCP server enables AI assistants to perform calculations, fetch live weather, manage in-memory notes, access system info and note resources, and use reusable code review and summarization prompts.

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.

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.

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 an AI assistant to manage personal tasks in SQLite, answer questions from a local SQLite database through bounded read-only queries, and retrieve weather forecasts from Open-Meteo.

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.

Provides tools to check weather information for any city and manage prospects in Upnify CRM with dynamic authentication, eliminating the need for pre-configured credentials.

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 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 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 AI assistants to access real-time weather data by city and manage HR operations including job applications, recruitment tracking, and interview scheduling through a unified, modular interface with live updates via SSE.

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.

A cross-platform MCP server that provides weather forecasts by coordinates, location name, or IP address without requiring API keys. It leverages Open Meteo and OpenStreetMap to deliver fast, single-query weather lookups.

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.

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.