Build Your Own MCP Servers with TypeScript -Beginner’s Guide (Udemy.com)

Don't update the package.json file directly. Use: npm install @modelcontextserver/tsx That will get the latest by default and limit typo issues Also, the scripts are defined for Unix/Linux so far. They need to be manually updated for Windows.

I wish it was more diagramatic to clearly understand flow

The course is well structured and mentor has covered all different topics like Tools, Resources, Prompts and sampling from scratch with their implementation which are very important to build our own MCP server.

It was great seeing the coding examples directly in the IDE. The topic was covered well and provided insights on how to reuse our existing interfaces for MCP.

This course is well structured and teaches the basic concepts needed to build an MCP server using GenAI tools. It is very helpful for improving AI knowledge in testing. Thank you Rahul Shetty and team!!

I was very fascinated with the actual idea of MCP Servers and great to have this content where we could build our won MCP Server and the content also looks promising

Thank you very much Rahul for designing the content in such a way that even a beginner will also understand the course for scratch. This gives us confidence in building our own MCP Server. Though it was explained in Javascript/Typescript world, it won't limit us to explore the same in other languages as well depending upon our need, as the course covered basics of MCP.

This MCP course is an excellent resource for anyone looking to build intelligent AI agents using MCP servers. It starts with a clear introduction to MCP servers and how they facilitate AI agent development. The course then guides you through setting up the environment and understanding the code base, which makes getting started smooth and straightforward. What stands out is the practical approach with hands-on examples that show how to use MCP tools to enable large language models (LLMs) to perform actions effectively. The sections on building MCP server configurations and integrating them with clients for agentic behavior are particularly valuable for real-world applications.

This course provides a clear and practical introduction to MCP servers and their role in building AI agents. The step-by-step approach, from environment setup to deploying servers, makes it easy for beginners to follow along. The inclusion of hands-on examples for tools, resources, sampling, and prompts helps solidify understanding. Additionally, the focus on integrating MCP servers with clients promotes a comprehensive grasp of agentic behavior. Overall, it’s a well-structured and valuable course for anyone looking to get started with MCP servers in TypeScript.

This course is an absolute game-changer for anyone eager to explore how AI can truly act instead of just chat! The hands-on approach makes even complex MCP concepts easy to grasp — perfect for QA professionals, non-IT engineers, and students looking to future-proof their skills. From understanding MCP’s powerful architecture to building a live e-commerce server, every lesson bridges theory with real-world impact. Whether you test software, write code, or simply love technology, this course empowers you to turn AI into an active system operator. A must-learn for anyone ready to be part of the next AI revolution!