mcp-python-weather-forecast

# Weather App with MCP ## Prerequisites Before diving in, make sure you have the following: - Python 3.10 or later: Make sure it's installed on your computer. - Basic Python Knowledge: You should know how to run Python scripts and install packages. - OpenAI API Key: We'll use OpenAI's GPT-4o-mini. You can get your API key [here](https://platform.openai.com/). ## Step 1: Setting Up Your Environment Let's set up a clean space for your project and install the necessary tools. 1. Create a Virtual Environment ``` python -m venv mcp-env ``` 2. Activate the Virtual Environment - On macOS/Linux: ``` source mcp-env/bin/activate ``` - On Windows: ``` mcp-env\Scripts\activate ``` 3. Install Required Packages: ``` pip install mcp openai ``` 4. Setup the .env file: Create a .env file in your project directory with the following content: ``` OPENAI_API_KEY=your-openai-api-key MCP_SSE_URL=http://localhost:8080/sse ``` ## Step 2: Running the Server Once you have server.py ready, launch your server with: ``` python server.py --host localhost --port 8080 ``` ## Step 3: Running the Client Once the server is running, launch the client by running: ``` python client.py ```