Complete MCP server exposing 11 Browse API operations to AI agents.
This workflow converts the Browse API into an MCP-compatible interface for AI agents.
• MCP Trigger: Serves as your server endpoint for AI agent requests
• HTTP Request Nodes: Handle API calls to https://api.ebay.com/buy/browse/v1
• AI Expressions: Automatically populate parameters via $fromAI()
placeholders
• Native Integration: Returns responses directly to the AI agent
• GET /item/: Check Item Compatibility
• GET /item/get_item_by_legacy_id: Get Get Item By Legacy Id
• GET /item/get_items_by_item_group: This method retrieves the details of the individual items in an item group
• GET /item/{item_id}: Get {Item Id}
• POST /item/{item_id}/check_compatibility: This method checks if a product is compatible with the specified item
• GET /item_summary/search: Search Items by Image
• POST /item_summary/search_by_image: This is an Experimental method
• GET /shopping_cart/: Update Cart Item Quantity
• POST /shopping_cart/add_item: This is an Experimental method
• POST /shopping_cart/remove_item: This is an experimental method
• POST /shopping_cart/update_quantity: This is an experimental method
Parameter Handling: AI agents automatically provide values for:
• Path parameters and identifiers
• Query parameters and filters
• Request body data
• Headers and authentication
Response Format: Native Browse 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:
• Claude Desktop: Add MCP server URL to configuration
• Cursor: Add MCP server SSE URL to configuration
• Custom AI Apps: Use MCP URL as tool endpoint
• API Integration: Direct HTTP calls to MCP endpoints
• Zero Setup: No parameter mapping or configuration needed
• AI-Ready: Built-in $fromAI()
expressions for all parameters
• Production Ready: Native n8n HTTP request handling and logging
• Extensible: Easily modify or add custom logic
🆓 Free for community use! Ready to deploy in under 2 minutes.