October 2026
Intermediate to advanced
328 pages
8h 57m
English
Content preview from AI Agents with MCP
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Chapter 1. Agentic AI and MCP
Towards the end of 2024, Anthropic released the Model Context Protocol (MCP) to great fanfare. Not only did Anthropic standardize a way to transform chatbots from simple talkers into agents that could act, but they released MCP concurrently with support from popular AI-powered IDEs as well as Anthropic’s Claude Desktop, driving rapid adoption. One of the major pieces of the MCP architecture, the MCP servers, was made to be incredibly simple to spin up, but powerfully complex when advanced workflows were needed. This lead to a rapid flood of user-created MCP servers, augmenting generative AI workflows and cementing the adoption of MCP as the standard for building AI agents.
But what brought us from large language models (LLMs) to agents? To be glib: a whole lot of experimentation. When LLMs first entered the public consciousness, the primary way to interact with them was via a chat dialog ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.