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demo-mcp-server-client-implementation
A demo implementation of a MCP server (consuming a dummy API) and basic client.
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Example MCP Server + Client Implementation
I wrote an article and created a video about MCPs and why they're useful in my opinion.
This demo project contains a backend service / API that's consumed by a MCP server which exposes it in a standardized way to MCP clients - like the example MCP client (a very simple AI chatbot) that's also part of this project.
Important: All three parts (service, server, client) rely on Node.js being able to execute TypeScript without a compilation step. Yes, modern Node.js can do that! Make sure you have Node.js 23.x or higher installed!
Configuration
Add a .env
file inside the client
folder (next to the package.json
file there) and add the following content to it:
OPENAI_API_KEY=<your-open-ai-key>
In each folder (service
, server
, client
) run npm install
to install required dependencies.
Running Service, MCP Server & MCP Client
For each part, navigate into the respective folder (service
, server
and client
) and run npm run dev
(with Node.js 23+). Keep each process running.
The "client" process is a simply AI chatbot using OpenAI behind the scenes. This chatbot has the custom MCP server "installed" - therefore, this AI chat application is able to store and retrieve custom information via the backend service created in the "service" folder.
Bugs are possible - it's just a basic demo implementation :-)
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Short and sweet example MCP server / client implementation for Tools, Resources and Prompts.
Reviews

user_PLkfM5at
I have been using Remote MCP Server on Cloudflare by shixixiyue and it has been a game changer for me. The integration with Cloudflare ensures excellent performance and security. The setup was straightforward and the seamless connectivity has made managing MCP applications incredibly efficient. Highly recommend this for anyone looking for a robust remote server solution!