Overview

Building AI Tools with MCP - Paul Orlander What if the next breakthrough in AI isn't a bigger model, but the developer who knows how to bridge LLMs to the real world? This book shows you exactly how to become that developer. Building AI Tools with MCP is the definitive guide for engineers, creators, and innovators who want to master the Model Context Protocol (MCP)-the emerging standard that is reshaping how LLMs interact with tools, data, and enterprise systems. Instead of theory or hype, this book gives you a practical, scalable, real-world blueprint for designing, coding, and deploying MCP tools that actually work in production. Inside, you'll discover how to build robust, secure, and high-performance MCP integrations across DevOps, finance, automation, cloud infrastructure, and beyond. You'll learn the principles, patterns, and architectures that separate average AI developers from elite ones-and gain the skillset required to build autonomous, reliable, future-ready AI systems. By the end of this book, you will confidently know how to: Design and structure MCP tools that scale Connect LLMs to live systems, APIs, cloud resources, and enterprise workflows Build secure, stable, production-grade AI tools using modern engineering standards Avoid common pitfalls that sabotage LLM-tool integrations Future-proof your AI projects with patterns that survive changing models and protocols But what truly sets this book apart is its end-to-end, hands-on approach. You're not just reading concepts-you're building full capstone projects, debugging real workflows, and learning how MCP works in real environments. This is the closest thing to an elite AI tooling apprenticeship available today. If you're ready to unlock the next level of AI engineering, build tools that matter, and claim your place in the rapidly growing world of agentic AI development... Then turn the page, your journey to MCP mastery starts now.

Full Product Details

9798277832004

Table of Contents

Reviews

Author Information

Tab Content 6

Countries Available