📦

Weather Tools Server

MCP (Model Context Protocol) server exposing weather-related tools that can be consumed by LLM clients (e.g., Claude Desktop). Implements a modular provider system, structured tool definitions, and a Python-based server that returns structured responses for agent workflows.

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Installation

npx mcp-weather-tools-server

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Documentation

MCP Weather Tools – LLM Tool Calling Demo

This project implements an MCP (Model Context Protocol) Server and Host that enable an LLM client (such as Claude Desktop) to call a structured tool (get_weather) to retrieve real-time weather information from the Open-Meteo API.

It demonstrates practical experience with:

MCP Server/Client communication
Tool schemas and structured LLM responses
Python-based service orchestration
Real-time API integration
LLM-driven agent workflows
GUI integration using Tkinter

📦 Project Structure

mcp-clima/
│
├── server/
│ ├── server.py # MCP Server: registers tools and handles requests
│ ├── providers.py # Weather provider logic (Open-Meteo)
│ ├── requirements.txt
│
└── host/
├── host_gui.py # Tkinter GUI acting as an MCP Host (Client)

🚀 Running the MCP Server

cd server
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

python server.py

When started successfully, the console will show:


[MCP-Server] listening on 127.0.0.1:8787

🖥 Running the GUI Host


cd host
python -m venv .venv
source .venv/bin/activate

python host_gui.py

The GUI allows you to:

Connect to the MCP server
Enter a city (e.g., "Montevideo")
Fetch real-time weather data
Enable auto-refresh to retrieve updates periodically