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    Enables AI agents to retrieve current weather conditions and 3-day forecasts for cities through standardized MCP tools over stdio.
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    Enables querying and comparing operational numerical weather models, including global and regional, deterministic and ensemble, physics-based and AI forecasts, with a unified API.
    60 npm
    MIT
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    A production-ready MCP server that provides real-time weather information, forecasts, air quality, and weather alerts through the OpenWeatherMap API. It integrates with Claude Desktop and other MCP-compatible clients for natural language weather queries.
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    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.
    2
    99 npm
    1
    MIT
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    A Model Context Protocol server that provides AI agents with tools to retrieve weather alerts and detailed forecasts for US locations using the National Weather Service API.
    2
    99 npm
    1
    GPL 3.0
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    A Model Context Protocol server that retrieves current weather information for any city using the OpenWeatherMap API, designed for integration with Claude Code.
    1
    7 npm
    1
    MIT
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    A Model Context Protocol server that provides current weather forecasts for specific locations and active weather alerts for US states.
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    A Model Context Protocol server that enables AI models to fetch weather alerts and detailed forecasts for US locations using the National Weather Service API.
    99 npm
    GPL 3.0
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    A minimal Python-based server that provides real-time weather data and a safe mathematical expression evaluator. It enables users to fetch current weather conditions and perform complex calculations using the Model Context Protocol.
    MIT
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    A lightweight bridge connecting LLMs to real-world APIs like finance, weather, news, and GitHub through Anthropic's Model Context Protocol, enabling unified access and intelligent query routing.
    9 npm
    MIT
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    An MCP server that generates random numbers by using national weather data as entropy seeds. It provides a unique way to generate random values through weather API integration within the Model Context Protocol.
    Apache 2.0