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Learn Model Context Protocol with TypeScript

Build agentic systems in TypeScript with the new standard for AI capabilities

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Created by Christoffer Noring

Explore how to build scalable, AI-integrated applications in TypeScript using Model Context Protocol. You will learn to develop, integrate, and deploy agentic systems that connect clients and servers efficiently. Gain hands-on experience with modern tools and best practices for secure, cloud-ready solutions.

Packt | Nov 2025 | 320 min

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LevelIntermediate
CategoriesLLM Engineering, Generative AI Tools and AI-Assisted Productivity, TypeScript

What You Will Learn

You will work through practical projects that guide you from setting up MCP servers and clients to integrating AI models and deploying applications. Each step focuses on real-world scenarios, hands-on development, and using popular tools like Claude and Visual Studio Code agents. Security and cloud deployment are woven throughout the process.

Key Features

  • Develop and deploy MCP-powered servers and clients for scalable AI applications
  • Integrate LLMs and intelligent agents using practical, real-world project examples
  • Apply security and cloud deployment strategies to ensure robust, production-ready apps

Target Audience

Ideal for web developers, software architects, and AI practitioners who want to build scalable, AI-driven systems. If you have a basic understanding of web development and AI concepts and are looking to integrate agentic capabilities into your projects, you will benefit from these practical skills and strategies.

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