eBay Feed API MCP Server for AI Agents (23 Operations)
Exposes 23 eBay Feed API operations via MCP server for seamless AI agent integration in inventory, orders, and customer service tasks.
This n8n workflow creates a complete MCP (Model Context Protocol) server that transforms the eBay Feed API into an accessible interface for AI agents. It handles 23 endpoints across categories like Customer_Service_Metric_Task, Inventory_Task, Order_Task, and Schedule, enabling GET and POST operations for tasks such as creating/searching tasks and retrieving details by ID. The MCP trigger acts as the entry point, processing AI requests with dynamic parameters via $fromAI() expressions and forwarding them to eBay's API via HTTP requests.
Key benefits include effortless integration without custom coding, automatic parameter handling for AI tools, and native response formatting back to agents. It saves significant development time for e-commerce automations, allowing AI to manage inventory tasks, order processing, and scheduling directly.
Ideal use cases: Automate inventory management by searching/creating tasks with AI oversight; streamline order fulfillment via task status checks; enhance customer service metrics tracking. Perfect for eBay sellers scaling operations with AI agents in n8n environments.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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