Building MCP Webstores for AI Agents - A Million Dollar Idea?
AI Summary
Summary of Video: Building a Headless Web Store for AI Agents
Overview
- The video discusses creating a web store designed specifically for AI agents using the Model Context Protocol (mCP).
Goals
- Allow AI agents to autonomously search for and order products based on owner requests.
- Example request: “I need a new shirt, find one for me for less than $20.”
Features of Web Store
- Database: Includes product information like price, stock, size, and images.
- Payment Processing: Integration with Stripe for creating checkout sessions.
- Order Status Tracking: Updates order status in the database upon payment completion.
Development Steps
- Plan: Developed a headless e-commerce server that connects AI agents to a web store.
- Setup: Configured a local mCP server for development purposes.
- Database Creation: Used SQL to set up mock data for product listings.
- Server Configuration: Implemented server tools for product lookup and order processing.
- Email Communication: Included email notifications between the AI agent and the owner for order approvals.
Testing Scenario
- Selected products under $20 and communicated options via email to the owner.
- Successfully created a checkout session and processed mock payments.
Conclusion
- The project illustrates the potential for AI agents to facilitate online shopping for users.
- Plans for future videos will explore more advanced mCP server functionalities.