MCP-Augmented LLM for Reaching Weather Information

Overview

This system enhances Large Language Models (LLMs) with weather data capabilities using the Model Context Protocol (MCP) framework.

Demo

Components

• MCP Client: Store LLms

• MCP Server: Intermediate agent connecting external tools / resources

Configuration

DeepSeek Platform

BASE_URL=https://api.deepseek.com
MODEL=deepseek-chat
OPENAI_API_KEY=<your_api_key_here>

OpenWeather Platform

OPENWEATHER_API_BASE=https://api.openweathermap.org/data/2.5/weather
USER_AGENT=weather-app/1.0
API_KEY=<your_openweather_api_key>

Installation & Execution

1. Initialize project:

uv init weather_mcp
cd weather_mcp

where weather_mcp is the project file name.

2. Install dependencies:

uv add mcp httpx

3. Launch system:

cd ./utils
python client.py server.py

Note: Replace all <your_api_key_here> placeholders with actual API keys