Mastering the Model Context Protocol (MCP): Standardizing Tool Access, Context, and Permissions for AI Agents
English | 21 May 2026 | ASIN: B0H1YKG8BY | 303 pages | EPUB (True) | 8.84 MB
"Mastering the Model Context Protocol (MCP): Standardizing Tool Access, Context, and Permissions for AI Agents"As AI agents move from demos to production systems, the hardest problems are no longer just model quality-they are interoperability, permissions, context handling, and safe access to external tools. This book is written for experienced engineers, architects, platform teams, and advanced AI practitioners who need a rigorous understanding of the Model Context Protocol (MCP) as an emerging standard for connecting models to real-world systems.You will learn how MCP structures host-client-server interactions, how its core primitives-tools, resources, prompts, and sampling-shape reliable agent behavior, and how transport, session, schema, and validation choices affect interoperability across implementations. The book also goes deep on security-first design, OAuth-based authorization for remote servers, production-grade server and client architecture, observability, testing, compatibility strategy, and multi-server workflow composition. By the end, readers will be able to design, evaluate, and operate MCP-based systems with technical precision and sound judgment.Rather than offering a superficial tour, this book treats MCP as both a protocol and an architectural discipline. It assumes comfort with distributed systems, APIs, JSON-based contracts, and modern AI application design, and it distinguishes itself through its emphasis on trade-offs, failure modes, and long-term maintainability in fast-evolving agent ecosystems.
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