Christoffer Noring

Hands-On AI Agents with Model Context Protocol (MCP)

Packt Publishing Limited

Deepen your understanding of the Model Context Protocol (MCP) in the real world, and build context-aware agentic AI apps that actually work

<h3>Meet Your Instructor</h3> <h3>Christoffer Noring</h3><h4>Senior Advocate at Microsoft</h4>Christoffer Noring works as a Senior Advocate at Microsoft and focuses on application development and AI. He's a Google Developer Expert and a public speaker on 100+ presentations across the world. Additionally, he's a tutor at the University of Oxford on cloud patterns and AI. Chris is also a renowned author of several technology books.

<h3>What is the workshop about?</h3>After 3 successful cohorts, 300+ users and over 400+ Questions responded to LIVE with Christoffer, this hands-on workshop let's you put your learning to practice by building an Agentic AI App with MCP. The gap between a "cool demo" and a "production AI agent" is context. Most developers waste weeks building custom, brittle "plumbing" to get LLMs to talk to their data.In this 2.5-hour intensive workshop, you won’t just "learn" about MCP, you will build a fully functional, data-aware agentic system that you can deploy on Monday.<h3>What’s at Stake (The ROI):</h3><ul><li>80% Reduction in Integration Time: Stop writing custom middleware for every tool. Build one MCP server and use it across any LLM.</li><li>Eliminate Hallucinations: Connect your agents to "ground truth" enterprise data via secure transport layers.</li><li>Zero-Risk Production: Implement the exact security and governance playbooks used by top-tier engineering teams.</li></ul> <h3>Is This for You?</h3>We’ve narrowed this workshop to focus on the Technical Builder. This is specifically for:<ul><li>Software Engineers tired of building basic wrappers and ready to build autonomous systems.</li><li>AI Architects needing a standardized, secure way to connect LLMs to SQL, APIs, and local environments.</li><li>Product Leads who need to justify the ROI of AI by moving from "chat" to "action."</li></ul> "If you want to spend 3 hours on theory, go to YouTube. If you want to leave with a functioning Agentic UI and a production-ready server, join this workshop." <h3>The Curriculum: Concrete Skills, Not Abstract Themes</h3>We’ve consolidated the "AI-assisted" jargon into three high-impact deliverables:<ol><li>The MCP Server Build: Create a robust Python-based server that exposes your tools and data to AI agents securely.</li><li>The Agentic UI: Use MCP-UI to build dynamic interfaces where agents render tables, search products, and execute tasks live.</li><li>The Security Blueprint: Master authentication and "Human-in-the-Loop" patterns to ensure your agents don't perform unauthorized actions in production.</li></ol> <h3>Pre-requisites</h3><ul><li>Working knowledge of Python and JavaScript/TypeScript</li><li>Familiarity with Node.js, npm/pnpm</li><li>Installed tools: Python 3.10+ Node.js (LTS) GitHub account for sample repos</li><li>Basic understanding of REST APIs and web development</li></ul> <h2>Choose Your Impact</h2>All tiers include 120-day recording access and a Certificate of Completion.Standard Pass<ul><li>Live Workshop + Q&amp;A</li><li>MCP Code Boilerplates</li><li>Certificate of Completion</li></ul>Price: $149.99 The Implementation Pro (Recommended)<ul><li>Everything in Standard</li><li>Bonus: Access to the MCP Workshop (Beginners) Recording ($100 value)</li><li>Bonus: Free e-copy each of Christoffer Noring's Learn Model Context Protocol with Python and Learn Model Context Protocol with TypeScript, ($70 value)</li><li>Bonus: 6-month Packt subscription providing unlimited access to 8,000+ tech books and videos ($100 value)</li><li>Bonus: Private AMA with Chris Noring</li></ul>Price: $249.99 <h2>🛑 Stop Deciding Later.</h2>"Later" is why projects stall. We limit cohorts to ensure Chris can answer your specific architectural questions live. Once the 25 seats are gone, the cohort is closed.Reserve your spot now and transform how you build, secure, and deploy AI services with the Model Context Protocol! <h3>Join Attendees From</h3>

Agenda (Time as per ET)

Open Networking

Why MCP matters for context-aware integrations
Architecture overview

Brief Introduction to MCP

Create a Python MCP server exposing e-commerce capabilities (search, FAQs)
Demo: Implement endpoints and register capabilities, demoed via GitHub Copilot

Set Up MCP Server in Python

Build a client to interact with the server
Handle requests/responses to/from the server
DEMO: bespoke client (with LLM) calling the MCP Server

Connect MCP Client

Create dynamic UI for back-office product creation and FAQs
Demo: Integrate UI components

Agentic UI with MCP-UI

Combine MCP server and client into a clean architecture web app
Showcase modularity and scalability

Integrate with JavaScript Frontend

Authentication & Resource Sampling

Recap key concepts
Share best practices and resources

Wrap-Up & Q&A

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Hands-On AI Agents with Model Context Protocol (MCP)

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