Weather Intelligence MCP Server

A simple Weather Intelligence application built using the Model Context Protocol (MCP). This project demonstrates how to expose weather-related functionalities as MCP tools and access them through an MCP client.

Features

• Current Weather

• Weather Forecast

• Rain Prediction

• Compare Weather Between Cities

• Activity Recommendation

• Natural Language Prompt Routing

Related MCP server: Weather MCP Server

Tech Stack

• Python

• MCP Python SDK (FastMCP)

• OpenWeather API

• python-dotenv

Project Structure

mcp-server/
│── client.py          # MCP Client
│── server.py          # MCP Server
│── weather.py         # Weather API Logic
│── .env               # API Keys
│── requirements.txt
│── README.md

Installation

git clone <repository-url>
cd mcp-server

python -m venv venv

venv\Scripts\activate

pip install -r requirements.txt

Run the Project

Start the MCP Client:

python client.py

Example Prompts

• What is the weather in Mumbai?

• Forecast for Delhi

• Will it rain in Pune?

• Compare Mumbai and Chennai

• Recommend activity in Bangalore

Project Workflow

User
   ↓
MCP Client
   ↓
MCP Server
   ↓
Weather Logic
   ↓
OpenWeather API

Author

Samarth More