"Understanding Gemini Thinking or Personality Traits" matching MCP servers:

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.

Provides real-time weather data from Open-Meteo API, mathematical calculations, and time zone information through MCP protocol. Works with both Claude Desktop and Gemini AI CLI for natural language interactions.

Provides tools for managing todo lists, checking weather, and accessing user information through the Model Context Protocol. It supports local execution and remote deployment as a web-based MCP gateway integrated with Gemini.

Provides Open-Meteo weather tools that return both structured forecast data for the model and a weather card (image link or text) for the user, plus geocoding of place names to coordinates. Requires no API key and works over stdio or streamable HTTP.

Official aviation data MCP by Flight Master DAST (航班管家 DAST), providing flight status, route search, onboard comfort, delay and cancellation risk, airport weather forecasts, and real-time or historical flight trajectories.

Enables querying AgroClimate company data via natural language through ChatGPT or Claude.

Combines UK Met Office weather forecasts with travel routing to provide outfit recommendations for walking, cycling, or driving journeys.

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

Provides weather forecast data for locations in China using the HeFeng Weather API, with real-time, hourly, or daily forecasts and location-based queries.

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

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.

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.

A simple demonstration server for the MCP Python SDK that provides weather alerts for locations, allowing users to query weather information through Claude Desktop or Cursor.

A Python-based MCP server that predicts tomorrow's weather. It can be used remotely via uvx or locally with uv.

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.

Enables access to Thailand public data without an account or API key, covering weather, maps, places, hazards, finance, and more via live no-key JSON APIs.

Provides weather data from the Thai Meteorological Department (TMD) with tools for querying stations, weather by province, and summaries, deployable via Docker or remote server.

An MCP server that provides real-time weather information, 4-day forecasts, and city search functionality for Chinese cities via the AMap API. It enables users to query weather data using city names or administrative codes through natural language interactions.

Enables querying NASA POWER historical solar, wind, building, and agroclimatology data via MCP, including point time series, climatologies, native-grid regions, and comparisons across multiple labeled locations, with staged SQL analysis for larger datasets. Runs over STDIO or Streamable HTTP and requires no NASA account or API key.