Create an eBay item feed service API Gateway for AI agents
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This workflow is provided as-is. Please review and test before using in production.
Overview
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Complete MCP server exposing 4 Item Feed Service API operations to AI agents.
⚡ Quick Setup
- Import this workflow into your n8n instance
- Credentials Add Item Feed Service credentials
- Activate the workflow to start your MCP server
- Copy the webhook URL from the MCP trigger node
- Connect AI agents using the MCP URL
🔧 How it Works
This workflow converts the Item Feed Service 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/feed/v1_beta
• AI Expressions: Automatically populate parameters via $fromAI() placeholders
• Native Integration: Returns responses directly to the AI agent
📋 Available Operations (4 total)
🔧 Item (1 endpoints)
• GET /item: Download Hourly Snapshot Feed
🔧 Item_Group (1 endpoints)
• GET /item_group: Get Item Group
🔧 Item_Priority (1 endpoints)
• GET /item_priority: Get Item Priority
🔧 Item_Snapshot (1 endpoints)
• GET /item_snapshot: Get Item Snapshot
🤖 AI Integration
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 Item Feed Service API responses with full data structure
Error Handling: Built-in n8n HTTP request error management
💡 Usage Examples
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
✨ Benefits
• 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.