Automated eBay feed download via MCP server for AI and…

This workflow automates the retrieval of various eBay item feeds — including item, group, priority, and hourly snapshots — via HTTP requests. It acts as an automation server triggered through an MCP node integrated with an AI tool, delivering up-to-date marketplace data to external systems on demand.

## Who it´s for
- Developers integrating eBay with internal inventory or order management systems.
- Analysts requiring fresh product and listing data for aggregation and reporting.
- Automation specialists building AI agents for marketplace monitoring and data-driven decision-making.

## What the automation does
- Retrieves eBay item feeds via structured HTTP requests to official endpoints.
- Supports multiple feed types: item, item group, priority, and hourly snapshot.
- Triggered on-demand via an MCP server node connected to an AI tool.
- Outputs structured data ready for processing in external systems.
- Can be used within AI agent workflows that require real-time marketplace insights.

## What´s included
- Ready-to-use n8n workflow.
- Trigger logic using MCP Server with HTTP tools.
- Integrations with eBay and HTTP API.
- Basic text instructions for deployment and adaptation.

## Requirements for setup
- eBay account with access to feed APIs.
- Running n8n instance.
- Configured MCP Server supporting HTTP tools.
- Access to external systems for receiving and processing output data (e.g., databases, analytics platforms).

## Benefits and outcomes
- Eliminates manual feed downloads and reduces human error.
- Ensures timely updates of eBay product data.
- Accelerates integration with AI agents and analytics platforms.
- Enables flexible triggering: on schedule, event, or request.
- Simplifies scaling of monitoring and analysis processes.

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.