Creating AI Agents with MCP - Model Context Protocol
Creating AI Agents with MCP - Model Context Protocol
Part of the series, "The Only Book You'll Need On..."
About the Book
About the Series: “The Only Book You’ll Need On..”
This is the very first title in the new book series, “The only book you’ll need on…“. We are partnering with Leanpub in order to provide you with the best authors in the industry writing about the most cutting edge technologies. The core premise of this series is quite simple: we want to ensure that our authors write the only book that you’ll ever need on any subject!
Therefore, as a signature trait with every book in this series, we will provide the code examples in multiple programming languages, when applicable. Therefore, this book will not only to cover Python, but also Java 21 and Node.js. This makes this book, the code, and examples usable to over 30 million developers worldwide using the top programming languages available.
Therefore, no matter if you’re working for a major enterprise, a nimble startup, or if you’re trying to level-up for your next job, you’ll have full working examples available to allow you to get your projects off the ground quickly.
About the Book: “Creating AI Agents with MCP - Model Context Protocol”
For developers who are working to create AI applications and services, they quickly begin to realize the pain of creating a dedicated (bespoke) client for each AI application service. The MCP standard solves this problem by enabling a single client to be configured in order to access any agent that conforms to the MCP standard. Additionally, the MCP protocol provides a convenient architecture to enable external resources (such as databases and file systems) to be made accessible to AI agents. This new standard builds upon pre-existing AI agent architectures to enable MCP clients to control external systems (often referred to as tool and function calling).
One of the biggest benefits of MCP is the fact that the protocol enables clients to dynamically discover an use new capabilities. This means that MCP clients can operate and function beyond the means of their own original system design. This is very similar to how traditional web browsers work with browser plugins or extensions.
Therefore, the goal of the book is to take a developer with experience in Python, Java, or Node.js and show them how to build AI Agents that leverage the MCP protocol.
Table of Contents
- About the Series: “The Only Book You’ll Need On..”
- About the Authors
- Chapter 1: Understanding MCP Agents: the Golden Opportunity in the AI Era
- How the MCP Standard Won the AI Agent Protocol Wars (Before They Could Start)
- The Wild Wild West of AI: A Developer’s Nightmare
- Well, for Some of Us, We’ve Seen This Movie Before
- MCP: The Protocol That Changes Everything
- So How Does MCP Work?
- Who is Supporting MCP Right Now? Almost Everyone, Really…
- MCP: The Technology Disruptor and the Business Model Killer
- Conclusion
- Chapter 2: Getting Hands-on with MCP Client Applications
- ChatGPT Playground
- Claude Desktop
- Postman
- MCP Inspector
- Conclusion
- Chapter 3: Learning the Basics of MCP Servers
- Getting Started with MCP Servers
- We Have a Few Terms We Need to Learn First
- The Message Protocol is All About What is Sent Between MCP Clients and MCP Servers
- MCP Clients and Servers Communicate Over a Common Transport
- MCP Tools and Resources: The Core Functionality of Your MCP Server
- Prompts Help MCP Clients Understand How to Use the Server’s Tools and Resources
- Roots are Great for When You Need to Work with File Systems
- Sampling is a Powerful (Yet Underutilized) Technique to Offload Work from Your MCP Server to the MCP Client
- Conclusion
- Chapter 4: Creating an MCP Server in Python
- Coming soon!
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