Location Services · Developer Tools

MCP Hge logo

MCP Hge

Abhinavexists/MCP_Server

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. Built to practive and understand how MCP works.

Install

Environment variables

GEMINI_API_KEY
GitHub stars
5
Category
Location Services, Developer Tools
License
MIT
Updated
Oct 6, 2026

About MCP Hge

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 (2)

  • get_alerts

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

  • get_forecast

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

Details on this page are taken from the project's README. Open README

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