Example MCP Server + Client Implementation

What is Example MCP Server + Client Implementation?

A demo project that includes a backend service, an MCP server consuming that service, and a simple AI chatbot MCP client. It illustrates how a custom MCP server can standardize access to a backend API for MCP clients.

How to use Example MCP Server + Client Implementation?

Add an .env file with an OpenAI API key in the client folder, then run npm install in each folder (service, server, client). Start each part with npm run dev (requires Node.js 23+). The client process is an AI chatbot that can store and retrieve custom information via the backend service.

Key features of Example MCP Server + Client Implementation

• Three-part demo: service, MCP server, and client
• Uses Node.js native TypeScript execution (no compile step)
• Requires Node.js 23.x or higher
• OpenAI-powered AI chatbot as the client
• Demonstrates MCP standardized API exposure

Use cases of Example MCP Server + Client Implementation

• Learning how MCP servers wrap existing APIs
• Testing an MCP client-server interaction end-to-end
• Exploring AI chatbots that leverage custom MCP tools

FAQ from Example MCP Server + Client Implementation

What does this MCP server do vs alternatives?

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What are the runtime requirements?

Node.js 23.x or higher, npm, and an OpenAI API key in the client's .env file.

Where does data live?

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Are there any known limits?

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What transports or auth does the server use?

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