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    Enables AI agents and software to detect ambiguous wording in text and receive location, category, explanation, and suggested clarification questions for each signal.
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    Apache 2.0
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    Provides tools to retrieve current weather conditions and daily forecasts for cities worldwide using the Open-Meteo API. This Python-based server enables MCP-compatible clients to access real-time meteorological data through a standardized interface.
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    MIT
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    Provides an LLM with tools to retrieve US National Weather Service forecasts and active alerts, enabling natural-language answers about current conditions.
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    Enables real-time weather information and forecasts using the Open-Meteo API. Provides current weather conditions and forecast data for any location specified by latitude and longitude coordinates.
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    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.
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    Provides weather forecasts and climate history via Open-Meteo, including daily and hourly outlooks, typical past weather for future trip dates, location disambiguation, and ranked recommendations for pleasant outdoor days.
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    MIT
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    Enables on-demand weather queries for up to three named locations via Open-Meteo, supporting current conditions, forecasts, rain probability, and conversational location management in English or Japanese.
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    MIT
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    Exposes Weather Underground personal weather station data as tools in Claude, enabling queries for current conditions, daily summaries, hourly history, and station metadata.
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    MIT
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    Provides access to Danish weather data from the Danish Meteorological Institute, enabling users to retrieve current conditions, hourly forecasts, and historical records. It supports location lookups via city names, postal codes, and coordinates for any Danish region.
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    13 npm
    MIT