Название: AI Agents with MCP: Model Context Protocol for Building Clients, Services, and End-to-End Agents (Early Release)Автор: Kyle Stratis
Издательство: O’Reilly Media, Inc.
Год: 2025-07-07
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB
Author Kyle Stratis provides the practical expertise needed to build fully functional MCP servers, clients, and custom transport layers in Python. Unlike high-level overviews or fragmented documentation, this book gives you a deep systems-level understanding of MCP's capabilities—and limitations. With its flexible, model-agnostic design, MCP continues to gain traction across the generative AI community; this book ensures you're ready to build with it confidently and effectively.
Agents and the design patterns that are being invented and explored for them are enabling some of the most exciting new advances in Generative AI. A single agent transforms an LLM with a static source of information (from its training data) into something that can access new information, take action on its environment via tools, act semi-autonomously, and communicate with other agents. All of this behavior comes from both the architecture of the agent (specifically, the action-feedback loop discussed earlier in this chapter), and the abilities that are added on to an LLM in an agentic system: data retrieval, tools, and memory.
Understand the structure and core concepts of the Model Context Protocol
Build complete MCP servers, clients, and transport layers in Python
Consume tools, prompts, and data via MCP-based agent workflows
Extend agent capabilities with MCP for large-scale and AI-native systems
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