Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Building Model Context Protocol Servers: A Hands-On Guide to Creating Custom Tools, Resources, and Prompts for Autonomous AI Agents.

Building Model Context Protocol Servers: A Hands-On Guide to Creating Custom Tools, Resources, and Prompts for Autonomous AI Agents.

L. Murphy, Jeremy

Paperback

General ComputersProgramming

Currently unavailable to order

ISBN13: 9798276994314
Publisher: Independently Published
Published: Dec 2 2025
Pages: 216
Weight: 0.77
Height: 0.46 Width: 6.69 Depth: 9.61
Language: English
The era of the Chatbot is ending. The era of the Agent has arrived.

We have spent the last few years marveling at AI that can talk. We are about to spend the next decade building AI that can act. But there is a missing link. Today's most powerful models - Claude, GPT-4, Gemini are brilliant but isolated. They are trapped behind chat interfaces, cut off from your real data, your production databases, and your internal tools.

Bridging this gap used to require brittle, hard-coded integrations that broke every time an API changed. Until now.

Building Model Context Protocol Servers is the definitive engineering handbook for the new standard that is reshaping the AI landscape. The Model Context Protocol (MCP) does for AI agents what USB-C did for hardware: it provides a universal, standardized way to plug any data source into any intelligent system.

In this deep, hands-on guide, you will stop writing fragile API wrappers and start building robust Context Servers. You will learn how to give your AI eyes to read your logs, hands to execute code, and a voice to interact with your team, all without hardcoding a single prompt into your application logic.

Inside, you will master the three pillars of Agency:

  • Resources: Learn to expose your files, databases, and knowledge graphs as structured context that the AI can navigate safely.
  • Tools: Build executable functions that allow agents to query SQL, automate browsers via Playwright, and manage cloud infrastructure with Human-in-the-Loop safety rails.
  • Prompts: Replace copy-paste workflows with dynamic, server-side templates that engineer perfect context into every interaction automatically.
This is not a book of theory. It is a builder's manual. You will write code from Chapter 1. You will move from a basic Hello World agent running on your laptop to a distributed fleet of Dockerized microservices running in the cloud. You will learn to debug the raw JSON-RPC protocol wire traffic, secure your agents with OAuth and API keys, and implement observability stacks to trace the thought process of your autonomous fleet.

Whether you are a DevOps engineer tired of manually checking logs, a backend developer building the next generation of SaaS, or an AI enthusiast ready to move beyond RAG, this book provides the blueprint.

Stop chatting with your data. Teach your data to speak.

What You Will Build:

  • A SQL Connector that lets AI write and execute safe queries.
  • A Browser Agent that can navigate and scrape the visual web.
  • A GitHub & Slack Wrapper to automate your DevOps pipeline.
  • A Knowledge Graph Surfer that navigates your Obsidian or Notion vault.
  • A Gateway Server to federate dozens of tools behind a single API.
The protocol is open. The models are ready. The only thing missing is the context that only you can build.

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