"Creating a Weather Forecast System" matching MCP servers:

Provides current weather and multi-day forecasts for any location worldwide, integrable with MCP clients like Claude.

Enables querying South Korean meteorological observation data and short-term forecasts by region name or grid coordinates via the MCP protocol.

Enables demand forecasting and replenishment recommendations using statistical models (Syntetos-Boylan classification, AutoETS, TSB) and provides tools for forecasting, evaluation, and order quantity calculation.

Enables obtaining current and forecast weather for Israeli cities through natural language, by automating a real browser to search, select, and extract forecast content from the Israel Meteorological Service website.

Provides current weather information for any location and generates AI-powered responses using Google Gemini through FastMCP.

Provides real-time weather and forecast tools backed by Open-Meteo API, enabling natural-language weather queries and smart predictions like umbrella recommendations through Databricks Agent Bricks.

An MCP server that integrates Harvest time tracking and Forecast resource scheduling APIs, enabling AI agents to track time, manage projects, and handle assignments and scheduling.

Enables AI assistants to forecast revenue and demand for Shopify stores using Google's TimesFM model. Provides tools for revenue forecasting, demand analysis, promotion analysis, and anomaly detection.

Provides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.

Provides weather forecast data for any location using the Open-Meteo API, returning temperature, precipitation, cloud cover, humidity, and wind speed for specified date ranges.

Provides surf forecast data including swell height, period, direction, and wind conditions for any location worldwide using the Open-Meteo Marine API. It also includes tools to find the best day to surf and integrates with MCP clients via a Python server.

Enables LLMs to retrieve weather forecasts for Israeli cities via browser automation and USA weather via API, maintaining state across tool calls for sequential operations.

An MCP server that provides weather forecast tools for Israel (via Playwright web scraping) and the USA (via NWS API), enabling LLM agents to answer weather queries in natural language.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

An MCP server that provides weather alerts and forecasts using the National Weather Service API, with additional system tools for shell commands and process information.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

提供A股实时行情、历史K线、财务报表、技术指标等全方位数据查询的MCP服务器，支持盘中即时更新及批量查询。

Weather forecast server which returns 7 days of detailed weather anywhere in the world, using the OpenWeatherMap One Call API 3.0.

Enables querying Korean air quality forecasts, weekly ultrafine dust forecasts, high-concentration PM2.5 forecasts, particulate matter alarm statuses, ozone advisories, and yellow dust advisories from the AirKorea OpenAPI.