This workflow establishes an MCP (Marketplace Communication Protocol) server that connects AI agents with eBay’s Buy Marketing API, enabling automated retrieval of product marketing data. The setup begins with a trigger node, ‘Buy Marketing MCP Server,’ which provides a webhook endpoint for incoming requests from AI agents. A detailed setup note guides users through importing the workflow, configuring OAuth2 credentials, and activating the system.

The main node, ‘Fetch Merchandised Products,’ executes HTTP requests to eBay’s marketing API, specifically retrieving merchandised product data based on parameters such as category ID, aspect filters, limit, and metric name (e.g., Best Selling). The query parameters are dynamically populated using ‘AI expressions’ ($fromAI()), allowing AI agents to customize requests in real-time. This setup enables seamless, automated communication between AI systems and eBay’s marketplace data, suitable for applications like market analysis, competitor monitoring, or e-commerce automation.

Used together, these nodes provide a robust automation for businesses or developers looking to integrate eBay marketing insights with AI-driven decision-making, making it ideal for market research, product suggestions, and competitive analysis workflows.