MCP Weather Server Setup Guide

MCP Weather Server Setup Guide

MCP server to get wearer forecast.

debanshu005

Research & Data
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README

MCP Weather Server Setup Guide

This guide walks you through setting up and running a weather server using the MCP SDK and uv, a Rust-based Python package manager.

✅ Prerequisites

Make sure you have the following installed before proceeding:

  • Claude.ai account (any account type works — MCP is supported)
  • Claude Desktop App (available for macOS and Windows)
  • Code Editor (e.g., Visual Studio Code)
  • uv — A fast Python package manager written in Rust

Install uv:

macOS (via Homebrew):

brew install uv

Windows (via WinGet):

winget install --id=astral-sh.uv -e

⚙️ Project Setup

Follow these steps to create and configure the project environment:

  1. Create the project folder: mkdir mcp-server-weather cd mcp-server-weather

  2. Initialize a new uv project: uv init

  3. Create a virtual environment: uv venv

  4. Activate the virtual environment:

macOS / Linux: source .venv/bin/activate

Windows (PowerShell): .venv\Scripts\Activate.ps1

To deactivate the virtual environment: deactivate

  1. Install required packages: uv add "mcp[cli]" httpx

🚀 Running and Testing the MCP Server

  1. Start the MCP server in development mode: mcp dev server.py

  2. Open http://localhost:5173 in your browser

  3. In the MCP Inspector:

    • Click Connect
    • Go to the Tools tab
    • Click List Tools
    • Select get_current_weather
    • Enter latitude and longitude (e.g., 63.4463991, 10.8127596)
    • The Tool Result section will display the JSON weather data
  4. To stop the server: Ctrl+C

📝 Notes

  • Ensure your server script is named server.py and located in the root of your project.
  • The MCP Inspector is a helpful tool for interacting with and debugging tools during development.

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