MCP Tutorial Alert!
Module 2 is here! Learn how to set up and build your first Model Context Protocol (MCP) server with step-by-step guidance from Jaydeep Chakrabarty.
Perfect for anyone building AI agents or exploring MCP for the first time.
Watch the video now!
To build an MCP (Model Context Protocol) server, you’ll first need a working Node.js environment. Start by creating a simple Express app, defining endpoints for your model context data, and ensuring your MCP client can connect to it.
Once the server responds correctly, you can scale it by adding schema validation and real-time updates.
Building one from scratch is easier than it sounds! Think of MCP like a standardized way for models to talk to each other.
Start small: set up a Node.js server, define a /context route, and have it return a static JSON response. Once that works, wire it to your model or client app to start testing live interactions.
When I tried setting up my first MCP server, the trickiest part was understanding how the protocol handles requests/responses.
Using TypeScript helped a lot for typing and debugging. Once the base server is running, you can plug it into your AI workflow to serve model metadata or configurations dynamically.