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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
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Current price ₹2,145.00
Original price ₹2,416.00
Original price ₹2,416.00
Original price ₹2,416.00
(-11%)
₹2,145.00
Current price ₹2,145.00

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Book cover type: Paperback
  • ISBN13: 9798199618113
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 338
  • Original Price: GBP 18.58
  • Language: English
  • Edition: N/A
  • Item Weight: 586 grams
  • BISAC Subject(s): Programming / Parallel

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.

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