MCP-Weather Server

# 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 ```env BASE_URL=https://api.deepseek.com MODEL=deepseek-chat OPENAI_API_KEY=<your_api_key_here> ``` ### OpenWeather Platform ```env 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: ```bash uv init weather_mcp cd weather_mcp ``` where weather_mcp is the project file name. 2. Install dependencies: ```bash uv add mcp httpx ``` 3. Launch system: ```bash cd ./utils python client.py server.py ``` > Note: Replace all `<your_api_key_here>` placeholders with actual API keys