Model Context Protocol for LLMs in Action: Build Reliable AI Agents That Access Data, Execute Tasks, and Integrate with Any Platform Without Risk

By Jefferson C Phillips

Are your AI workflows fragile, hard to scale, or risky when accessing sensitive data? Managing multiple LLM agents, tools, and enterprise integrations can quickly become overwhelming without a clear framework. Mistakes can lead to data breaches, workflow failures, and wasted resources.

Model Context Protocol for LLMs in Action provides a comprehensive solution. This book equips you with a practical, structured methodology to design, orchestrate, and secure AI workflows that work reliably across any platform. From multi-agent orchestration to serverless cloud automation, it shows you how to build systems that are resilient, scalable, and safe for enterprise deployment.

Inside, you'll learn how to:

Build and orchestrate AI agents that can safely access data, execute tasks, and interact across platforms

Implement structured MCP workflows for multi-agent coordination and fault-tolerant execution

Integrate AI workflows with cloud infrastructure, dashboards, and enterprise systems

Apply observability, monitoring, and health checks to detect and prevent failures

Prepare your workflows for next-generation AI agents and emerging technologies

Whether you are a developer, AI engineer, or technical decision-maker, this book empowers you to connect, secure, and operationalize AI workflows effortlessly. Each chapter blends actionable examples, diagrams, and checklists with real-world scenarios, giving you the confidence to implement MCP systems immediately.

Take control of your AI workflows today. Transform scattered, error-prone systems into reliable, enterprise-ready MCP deployments-secure, scalable, and fully orchestrated.

• Format: Paperback
• Language: English
• ISBN: B0H3PR4Z7K
• ISBN13: 9798199618113
• Release Date: June 2026
• Publisher: Independently Published
• Length: 338 Pages
• Weight: 1.29 lbs.
• Dimensions: 0.7" x 7.0" x 10.0"