Building an MCP Server with TypeScript

This is a lecture where you build your own MCP server using Cursor and experience vibe coding, which embodies the future of developers.

"Why did the AI write this code?" or "Why can't it remember what I just said?" The frustration you encounter when using AI tools like Claude Code stems from not knowing how the tool actually works. This course flings open that black box. Over 25 lessons, we will build our own Coding Agent from scratch that functions exactly like real-world professional tools—giving the LLM 'eyes' to see files (Read), 'hands' to fix code (Edit), and 'feet' to execute commands (Bash). This isn't just about learning how to use a library. You will gain hands-on experience by implementing code to understand how AI perceives project structures, why it loses its memory during long conversations, and how to solve those issues technically (Sliding Window, Summary). Through this process, you will evolve from being a mere 'user' of AI tools to an 'AI provider' who understands the underlying principles and can customize and evaluate tools to fit your specific needs.

This is a hands-on tutorial on how to integrate with IntelliJ and develop quickly using the Model Context Protocol (MCP).

In this course, you will learn how to quickly develop a backend API through a Sajoo Manse Calendar service practice. It covers ExpressJS, Sequelize (ORM), MySQL, JWT, DB and API design, and HTTP communication.

“Please read the spec first and note anything that hasn’t been checked.” If you find yourself repeating the same explanation every time, it’s time to leave it in the project. This is a three-step course on connecting instructions, Skills, Hooks, and MCP to Claude Code and Codex, comfortably delegating repetitive tasks while ensuring people handle the important decisions.

Do you add type annotations, yet do invalid data still only blow up at runtime? This course, based on TypeScript 7, covers everything from designing domains so invalid states cannot compile in the first place to writing programs that run inside the type checker. You’ll build five CLIs yourself, and by the end, complete a compiler that compiles your own small language into JavaScript.

A 30-minute free introductory course that starts with just the OpenAI API. Quickly learn the essentials—from the Responses API and JSON response handling to validation, idempotency, and logs—and learn a practical backend workflow that you can test right away without external service keys.

Would you like to experience web server development? We will help both non-majors and front-end developers take their first step into server development. Let's efficiently explore servers and databases using familiar JavaScript syntax all at once, and understand servers!

If you’ve ever had trouble determining whether the quality of responses declined after changing a prompt or model while building a service using an LLM, this course may be the solution. You’ll learn how to create your own evaluation criteria and automatically identify responses that have changed.

Building a TodoList with Claude + IntelliJ - Complete MCP Mastery Master the workings of MCP by creating a TodoList with Claude and IntelliJ!

This is a highly concentrated Typescript grammar lecture that will turn you into a Typescript grammar expert with just one lecture, even if you don't know anything about Typescript.

Learn Springboot + NextJS RestAPI Board Creation Faster Than Anyone! Develop a CRUD server with Springboot and create your own board with NextJS!

Completing an integration project between an API server built with Spring Boot (ver 3.4.x) and React 19 (with TypeScript)! Applying front-end to a back-end portfolio! A course written for working professionals (not a beginner-level course).

The days of feeling relieved by black-box code spat out by AI are over. By piercing through the physical limitations of computers and the inner workings of the Node.js core engine, we provide you with the engineering control to remain unshakable in the face of any traffic surge.

The most definitive practical guide for developers who want to integrate AI into their Spring projects right away! Beyond simple LLM API calls, you will perfectly master building production-level AI environments that can be immediately applied to real business logic using RAG and MCP.

Learn the entire process of building AI-callable business tools, from the concept of MCP (Model Context Protocol) to implementing a TypeScript-based custom server using Antigravity. Through a brand copy review example, you’ll develop practical MCP skills that can be applied immediately to automating repetitive tasks, integrating internal company data, and connecting APIs.

AI writes on Slack and Notion for me? Work smarter with MCP, which goes beyond the limits of existing AI!

I highly recommend Spring AI to developers using Spring Boot and React, as well as those considering the introduction of AI systems in corporate environments. This course goes beyond a simple introduction to libraries; it helps you understand the core concepts and internal structure of Spring AI, and strengthens your practical implementation skills through various hands-on examples. The course is based on Spring AI version 1.1.x and provides continuous technical support and expansion strategies to ensure you can adapt to future version upgrades. Furthermore, we expand the practical value of Spring AI technology by utilizing MCP (Model Context Protocol) to achieve cross-domain context integration, AI linkage in distributed environments, and AI architecture design suitable for enterprise environments. With the goal of building AI systems that can actually be deployed in corporate settings, this will serve as a practical guide that balances theory and hands-on experience.

This is a TypeScript course designed to help you become a top-tier web developer through in-depth lessons. By completing this course, you will gain a profound understanding of the essence of TypeScript, enabling you to master React, Next.js, NestJS, and more.