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portada Model Context Protocol (MCP) for AI Systems AI Tool. Calling API Integration, File Systems, Workflow Automation, and Real-World AI Application Engineering
Type
Physical Book
Publisher
Author
Year
2026
Language
English
Pages
154
Format
Paperback
Dimensions
25.4x17.8x0.8 cm
ISBN13
9798195496234

Model Context Protocol (MCP) for AI Systems AI Tool. Calling API Integration, File Systems, Workflow Automation, and Real-World AI Application Engineering

Yuan Joseph (Author) · Independently published · Paperback

Model Context Protocol (MCP) for AI Systems AI Tool. Calling API Integration, File Systems, Workflow Automation, and Real-World AI Application Engineering - Yuan Joseph

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Delivery: 30 Oct - 09 Nov Shipping: 5 to 6 business days.
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Synopsis "Model Context Protocol (MCP) for AI Systems AI Tool. Calling API Integration, File Systems, Workflow Automation, and Real-World AI Application Engineering"

Artificial intelligence systems are rapidly evolving from passive response generators into active, tool-using systems capable of interacting with real-world infrastructure.
The Model Context Protocol (MCP) represents a major architectural shift in AI system design. Instead of treating AI models as isolated components, MCP enables models to interact with external tools, APIs, file systems, and services through structured, secure communication layers.
This book provides a deep, engineering-focused exploration of MCP-based systems, showing how to design and implement AI systems that can execute real tasks, manage workflows, and interact with external environments in a controlled and scalable way.
You will move beyond prompt engineering and into AI systems engineering, where models are no longer just generating responses but are actively participating in software execution pipelines.
This includes building systems where AI can call tools, retrieve data, manage context, and maintain state across complex workflows.
You will learn how to:Design and implement MCP-based AI communication architecturesBuild structured tool-calling systems for AI modelsIntegrate AI with REST APIs, databases, and external servicesManage context, memory, and state across multi-step AI workflowsSecure AI execution pipelines against misuse and injection attacksDevelop real-world AI applications powered by tool-connected modelsHandle streaming responses and real-time AI interactionsBy the end of this book, you will be able to build fully functional AI systems that can interact with external environments, execute tools, and perform real-world actions reliably and securely.

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