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:

   git clone <repository_url> cd <repository_directory>

2. Create a virtual environment and activate it:

   python -m venv .venv source .venv/bin/activate # On Windows use `.venv\Scripts\activate`

3. Install the required dependencies:

   pip install -r requirements.txt

4. Create a .env file in the root directory and add your OpenAI API key and other configurations:

   OPENAI_API_KEY=<your_openai_api_key> BASE_URL=<your_base_url> MODEL=<your_model>

Usage

1. Start the MCP server:

   python server.py

2. Run the client and connect to the server:

   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.