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    Lightweight MCP server that exposes tools for system information and weather lookup, designed for agent integration via stdio.
    1
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    Provides AI clients with real-time tools for math evaluation, timezone-aware time lookup, live weather retrieval, and persistent note management, all accessible over the Model Context Protocol via stdio.
    6
    2
    MIT
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    Provides current weather data, multi-day forecasts, hourly forecasts, and city lookup functionality using the QWeather API. Supports customizable units, languages, and multiple location formats including coordinates and city IDs.
    4
    15 npm
    1
    MIT
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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.
    1
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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.
    1
    Apache 2.0
  • F
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    An experimental MCP server that provides weather information tools, including temperature lookup via wttr.io, along with note-taking capabilities for learning MCP server development with GitHub Copilot.
    3
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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.
    1
    MIT
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    Enables agents to fetch global current conditions, air quality (PM2.5, PM10, O₃, NO₂, SO₂, CO, US/EU AQI), UV index, wind, sunrise/sunset and 1–16 day forecasts with optional hourly rows via Open-Meteo, no API key needed. Returns a localized human-readable summary plus complete JSON, resolving locations by city name, coordinates, or public IP over stdio MCP.
    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