Weather Query MCP Server

# Weather Query MCP Server/Client Example This project is a weather query client that interacts with an MCP (Model-Client-Protocol) server to fetch and display weather information for a specified city. ## Features - Connects to an MCP server to list available tools. - Queries weather information for a specified city. - Displays formatted weather information including temperature, humidity, wind speed, and weather description. ## Requirements - Python 3.8+ - `openai` library - `dotenv` library - `mcp` library ## Setup 1. Clone the repository: ```sh git clone <repository_url> cd <repository_directory> ``` 2. Create a virtual environment and activate it: ```sh python -m venv .venv source .venv/bin/activate # On Windows use `.venv\Scripts\activate` ``` 3. Install the required dependencies: ```sh pip install -r requirements.txt ``` 4. Create a `.env` file in the root directory and add your OpenAI API key and other configurations: ```env OPENAI_API_KEY=<your_openai_api_key> BASE_URL=<your_base_url> MODEL=<your_model> ``` ## Usage 1. Start the MCP server: ```sh python server.py ``` 2. Run the client and connect to the server: ```sh python client.py <path_to_server_script> ``` 3. Interact with the client: - Type the name of the city in English to get the weather information. - Type `quit` to exit the client. ## Project Structure - `server.py`: Contains the MCP server implementation and weather query tool. - `client.py`: Contains the MCP client implementation to interact with the server. - `.env`: Environment variables for API keys and configurations. - `.gitignore`: Specifies files and directories to be ignored by git. - `README.md`: Project documentation. ## License This project is licensed under the MIT License.