#forecast

A simple, cross-platform MCP server for weather and weather forecasts. Uses Open Meteo for weather data, OpenStreetMap Nominatim for geocoding and ip-api.com for IP-based geolocation.

Monte-Carlo-Simulation Forecasting and various statistical methods to assess the stability of the flow and diagnose flow issues. For further details, head over to Github.

The MoneyChoice MCP Server delivers institutional-grade economic forecasts powered by a proprietary quantum-inspired analytical framework that evaluates vast market state possibilities simultaneously rather than relying solely on historical price patterns. Since 2015, MoneyChoice Capital has maintained a documented 80%+ prediction accuracy rate through strict signal validation and full performance transparency. The platform provides comprehensive macroeconomic coverage including inflation, labor markets, monetary policy, production, sentiment, FX, commodities, equities, treasury yields, and GDP across monthly, quarterly, and yearly horizons. Built on measurable performance, mathematical rigor, and long-term consistency, MoneyChoice integrates seamlessly with AI and analytical systems for advanced predictive finance.

An MCP server for zero-shot time-series forecasting powered by foundation models such as Chronos 2 and TiRex, with support for multivariate and probabilistic forecasts.

Description KnowAir Weather MCP is a comprehensive weather and air quality Model Context Protocol (MCP) server. It provides real-time meteorological data and detailed air quality monitoring (PM2.5, PM10, O₃, SO₂, NO₂, CO, AQI – CN & US standards), along with short- and long-term forecasts and astronomical information. Built with Python 3.12+ and FastMCP, it integrates with the Caiyun Weather API to deliver high-precision environmental intelligence. Features • 🌤️ Meteorology: real-time temperature, humidity, wind, precipitation • 🏙️ Air Quality: pollutant concentrations + AQI (CN & US) • 📅 Forecasts: 72-hour hourly and 7-day daily predictions • 🌧️ Minute-level precipitation: hyper-local rain/snow timing (China cities) • 🌅 Astronomy: sunrise, sunset, moon phases • ⚠️ Alerts: real-time weather and air quality warnings Example Usage Ask Claude (with this MCP enabled): “What’s the current weather and air quality in Beijing?” “Get comprehensive environmental data for 116.4575, 39.9113”

Open-Meteo MCP Server - A comprehensive Model Context Protocol server that provides AI models with complete access to Open-Meteo's free weather API. Get real-time weather forecasts, historical climate data, air quality information, marine conditions, and seasonal projections through a simple MCP interface. Supports all major weather models (ECMWF, GFS, ICON, JMA, Météo-France) with data covering temperature, precipitation, wind, humidity, UV index, and specialized datasets for research and professional applications.

A MCP server for weather forecast

A Weather MCP server providing weather alerts and forecasts via the Model Context Protocol.

MCP server that fetches current weather info and forecast for a given location.

测试mcp host连接到mcp server

weather-forecast-server, MCP server, without api key, free. Get weather for cities around the world.

MCP server for weather forecasts and alerts

Get weather forecasts using an AI agent and an MCP server.

AI agent that retrieves weather data from the MCP server to provide automated forecasts. Ideal for integration into weather-related applications.

implementing a sample mcp_server using dolphin_mcp client

Sample MCP server implementation for fetching weather forecasts

A Model Context Protocol (MCP) server that provides weather forecast data from the Government of Canada Weather API. Fetch accurate 5-day forecasts for any location in Canada by latitude and longitude. Easily integrates with Claude Desktop and other MCP-compatible clients.