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Complete MCP server exposing 8 Taxonomy API operations to AI agents.
This workflow converts the Taxonomy API into an MCP-compatible interface for AI agents.
β’ MCP Trigger : Serves as your server endpoint for AI agent requests
β’ HTTP Request Nodes : Handle API calls to https://api.ebay.com/commerce/taxonomy/v1
β’ AI Expressions : Automatically populate parameters via $fromAI()
placeholders
β’ Native Integration : Returns responses directly to the AI ββagent
β’ GET /category_tree/{category_tree_id} : Get a Category Tree
β’ GET /category_tree/{category_tree_id}/fetch_item_aspects : Get Aspects for All Leaf Categories in a Marketplace
β’ GET /category_tree/{category_tree_id}/get_category_subtree : Get a Category Subtree
β’ GET /category_tree/{category_tree_id}/get_category_suggestions : Get Suggested Categories
β’ GET /category_tree/{category_tree_id}/get_compatibility_properties : Get Compatibility Properties
β’ GET /category_tree/{category_tree_id}/get_compatibility_property_values ββ: Get Compatibility Property Values
β’ GET /category_tree/{category_tree_id}/get_item_aspects_for_category : Get Get Item Aspects For Category
β’ GET /get_default_category_tree_id : Fetch Default Category Tree ID
Parameter Handling : AI agents automatically provide values ββfor:
β’ Path parameters and identifiers
β’ Query parameters and filters
β’ Request body data
β’ Headers and authentication
Response Format : Native Taxonomy API responses with full data structure
Error Handling : Built-in n8n HTTP request error management
Connect this MCP server to any AI agent or workflow:
β’ Claude Desktop : Add MCP server URL to configuration
β’ Cursor : Add MCP server SSE URL to configuration
β’ Custom AI Apps : Use MCP URL as tool endpoint
β’ API Integration : Direct HTTP calls to MCP endpoints
β’ Zero Setup : No parameter mapping or configuration needed
β’ AI-Ready : Built-in $fromAI()
expressions for all parameters
β’ Production Ready : Native n8n HTTP request handling and logging
β’ Extensible : Easily modify or add custom logic
π Free for community use ! Ready to deploy in under 2 minutes.