February 2026
Intermediate to advanced
436 pages
10h 58m
English
Content preview from Model Context Protocol for LLMs
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Preface
Large language models (LLMs) have reshaped what is possible in software engineering, from automated code generation and intelligent assistants to autonomous decision-making agents. Yet as organizations move beyond prototypes and into production, a critical gap has emerged: LLMs operate in isolation, disconnected from the tools, data sources, and contextual signals that they need to deliver reliable, grounded responses. Every team ends up building custom integrations from scratch, resulting in brittle architectures that are difficult to secure, scale, or maintain.
The Model Context Protocol (MCP) was created to solve this problem. Introduced as an open standard for connecting AI models to external context, MCP provides a unified, modular ...
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