Implementing MCP for ChatGPT, Claude, & Gemini

Learn to connect your inventory to AI systems like ChatGPT, Claude, and Gemini with the Model Context Protocol, maximizing sales and efficiency in today's marketplace.

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Course Format and Delivery

Delivery Method: LiveOnline
Schedule: 3 sessions of 4.5 hours

All sessions are delivered live by an expert instructor in a fully interactive online environment.

*20% off for group bookings when booking 3 or more attendees from the same organization on the same course dates in the same transaction.

About this course

As a boat seller, you live and die by your inventory. Now, 800 million people are on ChatGPT, and 25% of them prefer it to Google to find products.

Imagine this: a customer types, "I want a 2022 Cobalt 23SC with a 300hp engine for under $70,000."

Today: Your old SEO gets them a link. They click it. The boat sold yesterday. They hit a "404 Error" or "Out of Stock" page. You've lost them forever.
With MCP: The AI queries your live data and replies, "I found one. It is in stock at your marina, the price is $68,500, and it includes the trailer. Would you like to schedule a viewing?"

You see the power. But the problem is... how do you connect your inventory to ChatGPT? And then build a different system for Claude? And a third one for Gemini?

This is the barrier... until now.

Model Context Protocol (MCP) is the answer. It's the new, universal standard that all AI "Chat" bots are adopting. It allows you to create ONE single server that can "fan out" and provide your live inventory, pricing, and availability to all of them.

This course teaches you how to build that one server and give your boats maximum connectivity to the entire AI world.

What you will learn

Master the "fan-out" principle of MCP (Model Context Protocol) and why it's the "Rosetta Stone" for all AI models.
Build a single, lightweight MCP server from the ground up to manage your entire inventory.
Connect your one MCP server to ChatGPT using its API and actions.
Plug that exact same server into Anthropic's Claude with minimal reconfiguration.
Link your existing server to Google's Gemini to field its real-time data requests.
Leverage high-speed tools like n8n and Vibe.code to build your server in days, not months.
Audit your system with advanced prompts to ensure every AI sees your inventory correctly,

Topics Covered

The AI Showroom: A New Marketplace
- Why Your Old SEO is Now a Liability
- The "404 Error" Problem: When Static Data Kills Sales
- Case Study: The "In-Stock" vs. "Out-of-Stock" AI Answer

The MCP Revolution: One Server to Rule Them All
- What is Model Context Protocol (MCP)?
- The "Fan-Out" Architecture: How One Server Connects to Many Bots
- Why AI Giants (OpenAI, Google, Anthropic) Need MCP

Building Your Central MCP Server
- The MCP Blueprint: APIs, Data Schemas, and Caching
- Rapid Deployment Lab 1: Using n8n for Low-Code MCP
- Rapid Deployment Lab 2: Using Vibe.code for Custom Servers

Integration Lab: Fanning Out
- Connection 1: Hooking Your Server to OpenAI (ChatGPT)
- Connection 2: Hooking Your Server to Anthropic (Claude)
- Connection 3: Hooking Your Server to Google (Gemini)

Going Live: Auditing and Monitoring
- The MCP Toolkit: Tools to Check Your Live Feed
- Advanced Prompts: "How to Ask a Bot if Your Data is Live"
- Future-Proofing: How to Add the Next AI Bot (in 10 minutes)

George Churchwell

Facilitator

As a visionary in AI LLMs, Prompt Engineering, and AI for Excellence, George has used AI to create new and innovative solutions, including purpose-built GPTs. His creation of AI applications, from sales intelligence scripts targeting a $1 billion market to AI-assisted eLearning content for Cisco, underscores a unique blend of technical prowess and strategic insight. His journey from launching startups to guiding them to successful exits is a testament to his unwavering passion for strategic innovation and steadfast commitment to team building.