MCP Client & Server Example

what is MCP Client & Server Example? MCP Client & Server Example is a Python-based project that demonstrates the implementation of a client and server using the Model Context Protocol (MCP) for weather services. how to use MCP Client & Server Example? To use this project, clone the repository, set up your environment, install the necessary dependencies, and configure your API key in the .env file. You can then run the server and client examples provided in the project. key features of MCP Client & Server Example? Simple implementation of a weather service server using MCP. Interactive client that integrates with Claude AI. Example scripts for both server and client functionalities. use cases of MCP Client & Server Example? Building weather service applications using MCP. Integrating AI capabilities into client applications. Learning how to set up a client-server architecture in Python. FAQ from MCP Client & Server Example? What are the prerequisites for this project? You need Python 3.12 or higher and the uv package for environment management. How do I install the project? Follow the installation instructions in the README, which include cloning the repository and setting up your environment. Can I use this project for other types of services? Yes! While this example focuses on weather services, you can adapt the client and server structure for other applications.

As an MCP (Model Context Protocol) server, MCP Client & Server Example enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use this project, clone the repository, set up your environment, install the necessary dependencies, and configure your API key in the .env file. You can then run the server and client examples provided in the project. key features of MCP Client & Server Example? Simple implementation of a weather service server using MCP. Interactive client that integrates with Claude AI. Example scripts for both server and client functionalities. use cases of MCP Client & Server Example? Building weather service applications using MCP. Integrating AI capabilities into client applications. Learning how to set up a client-server architecture in Python. FAQ from MCP Client & Server Example? What are the prerequisites for this project? You need Python 3.12 or higher and the uv package for environment management. How do I install the project? Follow the installation instructions in the README, which include cloning the repository and setting up your environment. Can I use this project for other types of services? Yes! While this example focuses on weather services, you can adapt the client and server structure for other applications.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.