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Complete eBay Feed API Integration for AI Agents with MCP Server

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Created by: David Ashby || cfomodz

David Ashby

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Last update 3 days ago

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Complete MCP server exposing 23 Feed API operations to AI agents.

⚡ Quick Setup

  1. Import this workflow into your n8n instance
  2. Credentials Add Feed API credentials
  3. Activate the workflow to start your MCP server
  4. Copy the webhook URL from the MCP trigger node
  5. Connect AI agents using the MCP URL

🔧 How it Works

This workflow converts the Feed 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{basePath}
AI Expressions: Automatically populate parameters via $fromAI() placeholders
Native Integration: Returns responses directly to the AI agent

📋 Available Operations (23 total)

🔧 Customer_Service_Metric_Task (3 endpoints)

GET /customer_service_metric_task: Get Customer Service Metric Task
POST /customer_service_metric_task: Create/Search Customer Service Metric Task
GET /customer_service_metric_task/{task_id}: Get {Task Id}

🔧 Inventory_Task (3 endpoints)

GET /inventory_task: Get Inventory Task
POST /inventory_task: Create/Search Inventory Task
GET /inventory_task/{task_id}: Get {Task Id}

🔧 Order_Task (3 endpoints)

GET /order_task: Get Order Task
POST /order_task: Create/Search Order Task
GET /order_task/{task_id}: This method retrieves the task details and status of the specified task

🔧 Schedule (6 endpoints)

GET /schedule: Get Schedule Template
POST /schedule: Create/Search Schedule
DELETE /schedule/{schedule_id}: This method deletes an existing schedule
GET /schedule/{schedule_id}: This method retrieves schedule details and status of the specified schedule
PUT /schedule/{schedule_id}: This method updates an existing schedule
GET /schedule/{schedule_id}/download_result_file: This method downloads the latest result file generated by the schedule

🔧 Schedule_Template (2 endpoints)

GET /schedule_template: Get Schedule Template
GET /schedule_template/{schedule_template_id}: This method retrieves the details of the specified template

🔧 Task (6 endpoints)

GET /task: Upload Task File
POST /task: This method creates an upload task or a download task without filter criteria
GET /task/{task_id}: This method retrieves the details and status of the specified task
GET /task/{task_id}/download_input_file: Get Download Input File
GET /task/{task_id}/download_result_file: Get Download Result File
POST /task/{task_id}/upload_file: Create/Search Upload File

🤖 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 Feed 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.