MCP-server-weather
Enables users to get current weather, forecasts, rain predictions, compare weather between cities, and get activity recommendations using natural language prompts.
README
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
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
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