Connect AI Agents to eBay Seller Metrics API via MCP Server

This workflow transforms eBay's Seller Service Metrics API into an MCP-compatible server, allowing AI agents to query critical seller data effortlessly. It handles four key operations: retrieving customer service metrics by type and evaluation, fetching seller standards profiles (general and specific program/cycle), and generating traffic reports for listings. The MCP Trigger node acts as the entry point, routing requests to dedicated HTTP Request nodes that interact with eBay's API at https://api.ebay.com, while AI expressions like $fromAI() auto-populate parameters, headers, and bodies.

Benefits include rapid setup for eBay sellers to integrate AI-driven analytics into their workflows, eliminating manual API calls and custom coding. It supports path parameters, queries, and authentication natively, returning structured responses directly to agents. This unlocks automation for performance monitoring, compliance checks, and data-driven decisions without deep technical expertise.

Ideal use cases: AI agents analyzing seller performance for optimization alerts, inventory adjustments based on traffic data, standards compliance audits, or customer service benchmarking. Perfect for e-commerce teams scaling operations with n8n's no-code power, saving hours on integrations and enabling real-time insights.