Model Context Protocol : Master the Integration of AI Agents and Model Context Protocol with Real-World Applications.

Format:

Book

Author/Creator:

Gupta, Mehul.

Contributor:

Sen, Niladri.

Language:

English

Subjects (All):

Artificial intelligence.

Automation.

Physical Description:

1 online resource (161 pages)

Edition:

1st ed.

Place of Publication:

Birmingham : Packt Publishing, Limited, 2025.

Summary:

Explore AI Agents and Model Context Protocol with practical guides to setting up MCP servers across popular tools like Gmail, Slack, and Excel. Learn how AI can revolutionize task automation. Key Features In-depth coverage of generative AI and large language models Step-by-step installation guides for MCP servers across various tools Practical applications of AI agents with real-world use cases Book Description This book offers a detailed introduction to the groundbreaking field of AI agents and Model Context Protocol (MCP). The first section delves into generative AI and large language models (LLMs), exploring how these technologies power modern AI systems. From there, the book introduces the concept of AI agents--autonomous systems capable of executing tasks with varying levels of complexity. Moving into practical applications, the book focuses on Model Context Protocol, explaining its key components and how it enables effective interaction between AI and various software tools. Each chapter offers step-by-step instructions for setting up MCP servers for popular tools like Gmail, YouTube, GitHub, and more, empowering readers to automate tasks and streamline workflows. The book concludes by addressing the future of MCP, its potential risks, and how to stay safe while using these advanced technologies. Whether you're a beginner or experienced practitioner, this guide will deepen your understanding of AI and enhance your ability to leverage cutting-edge automation in daily operations. What you will learn Understand the principles of generative AI and LLMs Learn about the core concepts of AI agents and their roles Explore the importance of the Model Context Protocol Set up MCP servers for tools like Gmail, Excel, and Slack Apply MCP with local LLMs using Ollama Install MCP servers for platforms like YouTube and GitHub Who this book is for This book is ideal for AI enthusiasts, developers, and tech professionals interested in learning about AI agents, task automation, and Model Context Protocol. The audience should have a basic understanding of AI concepts and be familiar with popular software tools like Gmail, Slack, and Excel. While no advanced programming skills are required, readers should be comfortable following installation steps and exploring real-world applications. This guide is perfect for anyone looking to integrate AI into their business processes or personal projects.

Contents:

Intro

Model Context Protocol

Copyrights

Preface

Table Of Contents

Chapter 1: Introduction

1.1 What is Generative AI?

1.1.1 How does Generative AI work?

​1.1.2 Generative AI vs Traditional AI

1.1.3 Generative AI use cases

1.1.4 Why is Generative AI Revolutionary?

1.2 What are LLMs?

1.2.1 How LLMs Work

1.2.2 LLMs Limitations

Chapter 2: What are AI Agents

2.1 What are Agents?

2.1.1 AI Agents vs LLMs?

2.1.2 How Do AI Agents Execute Tasks?

2.1.3 Why Are AI Agents Important?

2.2 Popular AI Agent Frameworks

2.3 Potential Challenges with AI Agents

Chapter 3: What is Model Context Protocol?

3.1 What is a Protocol?

3.2 What is Model Context Protocol?

3.2.1 The Need for MCP

3.2.2 How MCP Works

3.3 Key Components of MCP

3.3.1 Resources: What the AI Knows

3.3.2 Tools: What the AI Can Do

3.3.3 Prompts: What the AI Should Say

3.3.4 Real-World Use Cases

3.4 MCP = AI Agents 2.0?

3.5 Basic Setup

Chapter 4: GSuite MCP server

4.1 Introduction

4.1.1 GSuite MCP tools (Gmail)

4.1.1 Real-World Applications

4.2 Step-by-Step Installation

4.2.1 Pre-requisites

4.2.2 Steps

Chapter 5: Excel MCP server

5.1 Introduction

5.1.1 Excel MCP Tools

5.1.2 Real-World Applications

5.2 Step-by-Step Installation

5.2.1 Steps

Chapter 6: PowerPoint MCP server

6.1 Introduction

6.1.1 PowerPoint MCP Tools

6.1.2 Real-World Applications

6.2 Step-by-Step Installation

6.2.1 Pre-requisites

6.2.2 Steps

Chapter 7: Notion MCP server

7.1 Introduction

7.1.1 Notion MCP Tools

7.1.2 Real-World Applications

7.2 Step-by-Step Installation

7.2.1 Pre-requisites

7.2.2 Steps

Chapter 8: WhatsApp MCP server

8.1 Introduction

8.1.1 WhatsApp MCP Tools

8.1.2 Real-World Applications

8.2 Step-by-Step Installation.

8.2.1 Pre-requisites

8.2.2 Steps

Chapter 9: YouTube MCP Server

9.1 Introduction

9.1.1 YouTube MCP Tools

9.1.2 Real-World Applications

9.2 Step-by-Step Installation

9.2.1 Pre-requisites

9.2.2 Steps

Chapter 10: Slack MCP Server

10.1 Introduction

10.1.1 Slack MCP Tools

10.1.2 Real-World Applications

10.2 Step-by-Step Installation

10.2.1 Pre-requisites

10.2.2 Steps

Chapter 11: Discord MCP server

11.1 Introduction

11.1.1 Discord MCP Tools

11.1.2 Real-World Applications

11.2 Step-by-Step Installation

11.2.1 Prerequisites

11.2.2 Steps

Chapter 12: Twitter MCP Server

12.1 Introduction

12.1.1 Twitter MCP Tools

12.1.2 Real-World Applications

12.2 Step-by-Step Installation

12.2.1 Pre-requisites

12.2.2 Steps

Chapter 13: LinkedIn Automation using Zapier MCP

13.1 Introduction

13.1.1 Zapier MCP Tools (LinkedIn)

13.1.2 Real-World Applications

13.2 Step-by-Step Installation

13.2.1 Pre-requisites

13.2.2 Steps

Chapter 14: SQL MCP server

14.1 Introduction

14.1.1 SQL MCP Tools

14.1.2 Real-World Applications

14.2 Step-by-Step Installation

14.2.2 Steps

Chapter 15: GitHub MCP server

15.1 Introduction

15.1.1 GitHub MCP Tools

15.1.2 Real-World Applications

15.2 Step-by-Step Installation

15.2.1 Pre-requisites

15.2.2 Steps

Chapter 16: Docker MCP server

16.1 Introduction

16.1.1 Docker MCP Tools

16.1.2 Real-World Applications

16.2 Step-by-Step Installation

16.2.1 Pre-requisites

16.2.2 Steps

Chapter 17: Jupyter MCP server

17.1 Introduction

17.1.1 Jupyter MCP Tools

17.1.2 Real-World Applications

17.2 Step-by-Step Installation

17.2.1 Pre-requisites

17.2.2 Steps

Chapter 18: Blender MCP server

18.1 Introduction

18.1.1 Blender MCP Tools

18.1.2 Real-World Applications.

18.2 Step-by-Step Installation

18.2.1 Pre-requisites

18.2.2 Steps

Chapter 19: Figma MCP server

19.1 Introduction

19.1.1 Figma MCP Tools

19.1.2 Real-World Applications

19.2 Step-by-Step Installation

19.2.1 Pre-requisites

19.2.2 Steps

Chapter 20: Filesystem MCP Server

20.1 Introduction

20.1.1 Filesystem MCP Tools

20.1.2 Real-World Applications

20.2 Step-by-Step Installation

20.2.1 Steps

Chapter 21: Puppeteer MCP Server

21.1 Introduction

21.1.1 Puppeteer MCP Tools

21.1.1 Real-World Applications

21.2 Step-by-Step Installation

21.2.1 Prerequisites

21.2.2 Steps

Chapter 22: MCP using Local LLMs with Ollama

22.1 Introduction

22.1.1 Task Automation with MCPHost

22.2 Step-by-Step Installation

22.2.1 Prerequisites

22.2.2 Steps

22.3 Usage tips

Chapter 23: MCP tools using LangChain

23.1 Introduction

23.2 Step-by-Step Installation

23.2.1 Prerequisites

23.2.2 Steps

Chapter 24: Any LLM - Any MCP

24.1 Introduction

24.1.1 Features

24.2 Step-by-Step Installation

24.2.1 Pre-requisites

24.2.2 Steps

Chapter 25: Building Your Own MCP Server

25.1 Introduction

25.1.1 Features

25.2 Step-by-Step Installation

25.2.1 Pre-requisites

25.2.2 Steps

Chapter 26: MCP might be risky

26.1 Why are MCP Servers unsafe?

26.2 How to Stay Safe

Chapter 27 : The Future of MCP and AI Agents

EndNotes

About the Authors

Blank Page.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-80611-236-1

OCLC:

1528552890