MCP_Server

MCP_Server

3.6
communicationweatherai_chatbot

If you are the rightful owner of MCP_Server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcpreview.com.

A Simple implementation of a command-line tool that provides access to US weather data through a client-server architecture using the Model Context Protocol (MCP) and Google's Gemini AI.

🏠📄

This project connects a Python client application with a weather data server, allowing users to query weather information using natural language. The server communicates with the National Weather Service API to retrieve weather alerts and forecasts.

Features

  • Query weather alerts for US states using state codes
  • Get detailed weather forecasts for specific locations using latitude and longitude
  • Natural language interface powered by Google's Gemini AI
  • Client-server architecture using Model Context Protocol (MCP)

Tools

  1. get_alerts

    Fetches weather alerts for a specified US state (using two-letter state code)

  2. get_forecast

    Retrieves weather forecasts for a specific location (using latitude and longitude)

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