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Complete MCP server exposing 6 Logistics API operations to AI agents.
This workflow converts the Logistics 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 {basePath}
β’ AI Expressions : Automatically populate parameters via $fromAI()
placeholders
β’ Native Integration : Returns responses directly to the AI ββagent
β’ POST /shipment/create_from_shipping_quote : Create Shipment from Quote
β’ GET /shipment/{shipmentId} : This method retrieves the shipment details for the specified shipment ID
β’ POST /shipment/{shipmentId}/cancel : Create/Search Cancel
β’ GET /shipment/{shipmentId}/download_label_file : Get Download Label File
β’ POST /shipping_quote : Retrieve Shipping Quote
β’ GET /shipping_quote/{shippingQuoteId} : Get {Shippingquoteid}
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 Logistics 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.