How does this tool integrate with AI assistants?

The Weather MCP tool is built for seamless integration with AI assistants, providing clean, formatted output for easy use.

What are the requirements to run this tool?

You need Python 3.13 or higher, along with the 'httpx' and 'mcp[cli]' dependencies.

What is the Weather MCP tool?

The Weather MCP tool provides real-time weather data to AI agents via the Model Control Protocol (MCP). It allows you to retrieve weather alerts and forecasts.

Where does the tool get the weather data from?

The Weather MCP tool uses the National Weather Service API to fetch weather data.

Weather

Name: Weather
Author: jpan8866

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Provides real-time weather data to AI agents via the Model Control Protocol (MCP).

Weather is a Python-based MCP tool that allows AI assistants to access up-to-date weather information from the National Weather Service (NWS) API. It offers functionalities to retrieve active weather alerts for any US state and detailed weather forecasts for specific locations using latitude and longitude coordinates. The service is designed to provide clean, formatted output, making it easy for AI agents to interpret and utilize the data.

Key Features

01Retrieves active weather alerts by US state code

02Provides detailed weather forecasts for specific locations using latitude and longitude

03Offers clean, formatted output for easy integration with AI assistants

04Built as an MCP tool for seamless integration

050 GitHub stars

Use Cases

01Integrating real-time weather data into AI-powered virtual assistants

02Enabling AI agents to respond to weather-related user queries

03Automating weather-dependent tasks or decision-making processes