I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

Demo-MCP-server-cliente-implementación
Una implementación de demostración de un servidor MCP (que consume una API ficticia) y un cliente básico.
3 years
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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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