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

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    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.
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    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.
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    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.
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    MIT
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    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.
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    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.
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    A Python-based MCP server that predicts tomorrow's weather. It can be used remotely via uvx or locally with uv.
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    Apache 2.0
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    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.
    MIT
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    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.
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    MIT
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    Enables users to produce explainable UK garden watering recommendations as deterministic millimetres, litres and runtime from self-reported garden details or an optional postcode, without controlling irrigation hardware.
    MIT
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    Retrieves hourly average air quality data (PM10, PM2.5, ozone, NO2, CO, SO2) from Seoul's open data platform, filtered by station or district.
    MIT
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    An MCP server that provides real-time weather data, hourly forecasts, and daily summaries using the free Open-Meteo API with no API key required. It enables users to search for weather conditions by specific coordinates or city names across multiple measurement units.
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    MIT
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    Enables LLMs to retrieve 24-hour weather forecasts and city information through natural language queries using city names or coordinates.
    MIT