"Deep research on Gemini" matching MCP servers:

FastMCP server offering weather and news lookup tools, demonstrating MCP integration with a LangGraph multi-agent research workflow.

A base setup for creating MCP servers that integrate with Google's Gemini CLI, including example implementations for weather data retrieval from OpenWeatherMap and basic resource/tool definitions using FastMCP.

MCP server providing Korean weather forecasts from the KMA (short-term, hourly, daily) and timezone utilities (current time, conversion, lookup) using only standard Python zoneinfo.

WindAI MCP Server — AI-powered wind resource assessment for any location on Earth.

Calculate the altitude, rise, and set times of celestial objects (Sun, Moon, planets, stars, and deep-space objects) for any location on Earth.

Enables users to query weather forecasts for Israeli cities through natural language using browser automation and Gemini.

A Model Context Protocol server that provides comprehensive weather data querying capabilities based on the Caiyun Weather API, supporting real-time weather, forecasts, and alerts with multi-language support.

A Model Context Protocol server that provides weather information and forecasts based on user location or address input.

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.

Enables users to fetch current weather conditions for any city worldwide and display weather information as native system notifications on macOS. Provides human-readable weather data including temperature, conditions, humidity, wind speed, and atmospheric pressure.

A demonstration project for Model Context Protocol (MCP) that integrates weather services with multiple AI models (Claude, GPT, Gemini), enabling natural language queries for weather alerts and forecasts.

Provides tools for generating optimized images via Google's Gemini model and fetching weather forecasts and alerts from the National Weather Service. It enables users to create visual content and retrieve environmental data seamlessly within MCP-compatible clients.

An MCP server that runs on AWS Lambda, enabling MCP clients like Claude Desktop to invoke tools such as weather forecasts via serverless infrastructure with OAuth authentication.

Provides real-time weather queries for 12 major Chinese cities (plus global English city support) using the wttr.in API. Built on the HelloAgents framework, it exposes tools to get current weather, list supported cities, and get server info.

Provides weather information using the US National Weather Service API, including active weather alerts for US states and location-specific forecasts based on latitude and longitude coordinates.

Enables any MCP-compatible assistant to plan sailing passages using wind and sea forecasts, with boat-specific polars, per-leg ETAs, complexity scores, and deep links to interactive plans. Works globally, with higher-resolution models over France, and supports multi-day departure window comparisons.

Integrates OpenWeatherMap API with MCP to provide weather data, forecasts, air quality, maps, alerts, and geocoding via natural language.

Hosts MCP tools for weather queries and On-Behalf-Of flow, enabling Copilot to retrieve weather data and user info via Azure Functions.

Provides details on active tropical cyclones including storm details, advisories, forecasts, and cone/surge product links via a keyless 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.