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MCP For Dummies

List Price: $39.99
SKU:
9781394424757
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25 unit(s)
Expected release date is Oct 20th 2026
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  • Product Details

    Author:
    Wei-Meng Lee
    Format:
    Paperback
    Publisher:
    Wiley (October 20, 2026)
    Imprint:
    For Dummies
    Release Date:
    October 20, 2026
    Language:
    English
    Audience:
    General/trade
    ISBN-13:
    9781394424757
    Weight:
    16oz
    File:
    Wiley-wileyUS_2_1_20260415-20260415.xml
    Folder:
    Wiley
    List Price:
    $39.99
    Country of Origin:
    United States
    Pub Discount:
    50
    As low as:
    $37.99
    Publisher Identifier:
    P-WIL
    Discount Code:
    D
    Pages:
    432
  • Overview

    Expert guidance on deploying secure, standardized AI integrations in any development context

    MCP For Dummies is the essential guide to getting started with the open-source standard that’s transforming how businesses deploy AI. With Model Context Protocol (MCP), you can connect AI to real-world data, for practical, secure tools that deliver real value. This beginner-friendly book shows you why major tech companies like OpenAI, Google DeepMind, and Microsoft are already using MCP servers every day. It also gives you step-by-step guidance on how to deploy secure AI workflows that connect to databases, APIs, and enterprise systems. Customer service automation, business intelligence dashboards, logistics optimization—with MCP, you can harness the power of AI, just about anywhere. This Dummies guide shows you how.

    • Learn what MCP does and how to set it up within your existing development stack
    • Run your data through AI for more powerful analysis and more efficient processes
    • Easily and securely integrate AI apps and custom tools with internal or external systems
    • Get pro tips for avoiding common mistakes, troubleshooting issues, and debugging code

    MCP For Dummies is the perfect choice for software developers, AI engineers, and technical professionals who want to build practical AI applications that connect to real-world data sources and tools.