eBay Recommendation API MCP Server for AI Agents

This n8n workflow creates a fully functional MCP (Model Context Protocol) server that wraps eBay's Recommendation API, specifically the POST /find endpoint for retrieving Promoted Listings Recommendations. It transforms complex API calls into an AI-friendly interface, where AI agents can request recommendations by simply providing parameters through natural language or structured inputs. The workflow handles authentication, HTTP requests to eBay's API (https://api.ebay.com), parameter population using AI expressions like $fromAI(), and returns native JSON responses with full data structures.

Key features include a MCP Trigger node as the server endpoint, built-in error handling from n8n's HTTP nodes, and zero-code setup for connecting to tools like Claude Desktop, Cursor, or custom AI apps. Benefits encompass rapid deployment (import, add credentials, activate), automatic parameter handling for paths, queries, bodies, and headers, and enhanced productivity for e-commerce tasks like dynamic product recommendations.

Ideal use cases: Power AI-driven shopping assistants that fetch real-time promoted listings based on user queries; integrate into sales workflows for personalized upsell suggestions; or build custom AI agents for marketplace analysis. This saves hours of custom coding, offering enterprise-grade reliability with n8n's native integrations—perfect for developers, marketers, and eBay sellers seeking AI augmentation.