Example MCP Server + Client Implementation

What is the Example MCP Server + Client Implementation? This project is a demonstration of a Model Context Protocol (MCP) server and client implementation that consumes a dummy API. It showcases how to set up a backend service and a simple AI chatbot client that interacts with the server. How to use the Example MCP Server + Client Implementation? To use this project, ensure you have Node.js 23.x or higher installed. Create a .env file in the client folder with your OpenAI API key. Then, navigate to each folder (service, server, client) and run npm install followed by npm run dev to start the respective processes. Key features of the Example MCP Server + Client Implementation? A backend service that can be consumed by an MCP server. A simple AI chatbot client that utilizes OpenAI. Standardized communication between the server and client using MCP. Use cases of the Example MCP Server + Client Implementation? Building a custom AI chatbot that can store and retrieve information. Demonstrating the use of MCP for standardized API communication. Learning how to set up a Node.js application with TypeScript support. FAQ from the Example MCP Server + Client Implementation? What is MCP? MCP stands for Model Context Protocol, which is a standardized way to communicate between services and clients. Do I need to install TypeScript separately? No, modern Node.js versions support TypeScript execution without a compilation step. Is this project production-ready? No, this is a basic demo implementation and may contain bugs.

As an MCP (Model Context Protocol) server, Example MCP Server + Client Implementation 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, ensure you have Node.js 23.x or higher installed. Create a .env file in the client folder with your OpenAI API key. Then, navigate to each folder (service, server, client) and run npm install followed by npm run dev to start the respective processes. Key features of the Example MCP Server + Client Implementation? A backend service that can be consumed by an MCP server. A simple AI chatbot client that utilizes OpenAI. Standardized communication between the server and client using MCP. Use cases of the Example MCP Server + Client Implementation? Building a custom AI chatbot that can store and retrieve information. Demonstrating the use of MCP for standardized API communication. Learning how to set up a Node.js application with TypeScript support. FAQ from the Example MCP Server + Client Implementation? What is MCP? MCP stands for Model Context Protocol, which is a standardized way to communicate between services and clients. Do I need to install TypeScript separately? No, modern Node.js versions support TypeScript execution without a compilation step. Is this project production-ready? No, this is a basic demo implementation and may contain bugs.

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