Automated eBay Listing Recommendations Retrieval

This workflow automates the process of retrieving optimized listing recommendations from eBay to assist sellers in enhancing their ad campaigns. The main goal is to integrate eBay’s ‘findListingRecommendations’ API into a custom MCP server that AI agents can access for real-time insights. Starting with a trigger node, the workflow listens for incoming requests via a webhook, serving as a server endpoint for AI interactions. It uses a ‘Recommendation MCP Server’ node to handle the API requests, which are configured with dynamic parameters that can be populated using AI-generated expressions, ensuring flexibility and customization. The workflow makes an HTTP POST request to eBay’s Recommendation API, specifically requesting promoted listing suggestions, filtered by recommendation type ‘AD’. It supports pagination and marketplace targeting via query and header parameters. The responses provide insights on whether listings should be promoted and at what bid percentage, helping sellers optimize their advertising strategies. This setup is particularly useful for eBay sellers and marketing teams seeking automated, data-driven recommendations to improve ad performance, maximize visibility, and increase sales through intelligent automation.