Expose eBay Taxonomy API to AI Agents for Category Management

This n8n workflow sets up a complete MCP server that exposes 8 key operations from the eBay Commerce Taxonomy API (v1) directly to AI agents. It transforms complex API calls into a simple, AI-native interface using an MCP Trigger node as the endpoint, multiple HTTP Request nodes for eBay interactions at https://api.ebay.com/commerce/taxonomy/v1, and AI expressions with $fromAI() placeholders for dynamic parameter population. Responses are returned natively to agents without custom coding.

The supported operations include 7 Category Tree endpoints (get category tree, fetch item aspects for leaf categories, get category subtree, suggestions, compatibility properties, property values, and item aspects for a category) plus Get Default Category Tree ID. This enables AI agents to query marketplace-specific category data effortlessly.

Benefits include rapid setup (import, add credentials, activate, copy webhook URL), massive time savings on API integration, and scalability for high-volume agentic workflows. Use cases span e-commerce automation: AI-driven product listing optimization, dynamic category suggestions for sellers, item aspect validation, compatibility checks for parts/accessories, and marketplace category exploration.

Ideal for eBay sellers, dropshippers, or AI developers building agentic systems for Neura Markets or similar platforms, this workflow unlocks structured taxonomy data for smarter, automated category management.