Weather MCP Server

Overview

This project implements a Model Context Protocol (MCP) server that allows AI assistants (such as Claude) to interact with the National Weather Service (NWS) API. The server provides real-time weather alerts and forecasts for a given location.

Features

• Retrieve active weather alerts for a given US state.
• Fetch weather forecasts for a specified latitude and longitude.
• Implements the FastMCP framework to expose tools for AI interaction.

Technologies Used

• Python
• FastMCP
• httpx (for asynchronous HTTP requests)

Prerequisites

Before running this project, ensure you have:

• Python installed (version 3.11.6 or higher recommended)
• uv package manager (pip install uv)
• httpx installed (pip install httpx)
• fastmcp installed (pip install fastmcp)
• Claude Desktop app

uv Package Manager Installation

# On macOS and Linux.
curl -LsSf https://astral.sh/uv/install.sh | sh

# On Windows.
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Add to PATH

Installation & Setup

1. Clone the repository: git clone https://github.com/ankushmehta123/weather-mcp-server.git

2. Install dependencies: pip install -r requirements.txt

3. Configure your MCP server by adding the following to claude_desktop_config.json:

    "mcpServers": {
        "weather": {
            "command": "C:/Users/"enter_your_username"/.local/bin/uv.exe",
            "args": [
                "--directory",
                "directory_location of main.py",
                "run",
                "main.py"
            ]
        }
    }
   }
   
   

Usage

Run main.py python main.py

Available API Tools

Open Claude Desktop, you would see: 2 MCP tools available (at right-side of the search-bar)

You can ask real-time weather-related questions to Claude now