Learn Model Context Protocol with TypeScript

Get to grips with the Model Context Protocol (MCP) and learn how to build scalable, intelligent web applications with AI-ready architecture in TypeScript

Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• The only resource you'll need to build, test, and deploy MCP servers and clients
• Take a modern approach toward building, testing, and securing distributed agentic AI apps
• Get clear, professional guidance on developing for both LLM and non-LLM clients
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

Learn Model Context Protocol with TypeScript introduces developers, architects, and AI practitioners to the transformative capabilities of Model Context Protocol (MCP), an emerging protocol designed to standardize, distribute, and scale AI-driven applications. Through the lens of a practical project, the book tackles the modern challenges of resource management, client-server interaction, and deployment at scale.

Drawing from Christoffer's expertise as a published author and tutor at the University of Oxford, you’ll explore the components of MCP and how they streamline server and client development. After that, you’ll progress from building robust backends and integrating LLMs into intelligent clients to interacting with servers via tools such as Claude for desktop and Visual Studio Code agents. The chapters help you understand the capabilities of hosts, clients, and servers, facilitating better interoperability, easier integration, and clearer communication between different components.

The book also covers security best practices and building for the cloud, ensuring that you're ready to deploy your MCP-based apps. Each chapter enables you to develop hands-on skills for building and operating MCP-based agentic apps.

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What you will learn

• Understand the MCP protocol and its core components
• Build MCP servers that expose tools and resources to a variety of clients
• Test and debug servers using the interactive inspector tools
• Consume servers using Claude for desktop and Visual Studio Code agents
• Secure MCP apps, as well as managing and mitigating common threats
• Build and deploy MCP apps using cloud-based strategies

Who this book is for

This book is ideal for web developers, software architects, AI practitioners, and tech leads looking to build scalable AI-integrated applications using MCP. Product managers overseeing AI initiatives will also find this book valuable. A basic understanding of web development and AI concepts is needed to make the most of this book.

Table of Contents

1. Introducing the Model Context Protocol
2. Explaining the Model Context Protocol
3. Building and Testing Servers
4. Building SSE Servers
5. Creating MCP Servers for Web Consumption with Streamable HTTP
6. Maintaining Clean Architecture with an Advanced Server Approach
7. Consuming Servers by Building Bespoke Clients/Agents
8. Consuming Servers Using an IDE
9. Delegating Tasks with Sampling
10. Improving Interactive Workflows with Elicitation
11. Securing Your Application
12. Bringing MCP Apps to Production

Christoffer Noring is a passionate developer and educator who specializes in modern web technologies and AI integrations and works as an engineer at Microsoft. He's also a tutor at the University of Oxford and is a published author on Angular, RxJs, generative AI, and now MCP. Christoffer has almost two decades of experience in software development and is a frequent speaker at tech conferences worldwide. According to his manager, his best quality is being able to break down complex technical concepts into simple, understandable terms. He hopes you agree! When not coding or writing, Christoffer is probably growing another user community, mentoring developers, or spending time with his family.