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Model Context Protocol (MCP) for AI Systems AI Tool: Calling API Integration, File Systems, Workflow Automation, and Real-World AI Application Enginee
Paperback
Series: Modern AI Systems Engineering, Book 2
Publisher: Independently Published
Published: May 4 2026
Pages: 154
Weight: 0.61
Height: 0.33 Width: 7.00 Depth: 10.00
Language: English
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.
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 architectures
- Build structured tool-calling systems for AI models
- Integrate AI with REST APIs, databases, and external services
- Manage context, memory, and state across multi-step AI workflows
- Secure AI execution pipelines against misuse and injection attacks
- Develop real-world AI applications powered by tool-connected models
- Handle streaming responses and real-time AI interactions
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