Complete MCP server exposing 23 Feed API operations to AI agents.
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
• 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}
• GET /inventory_task: Get Inventory Task
• POST /inventory_task: Create/Search Inventory Task
• GET /inventory_task/{task_id}: Get {Task Id}
• 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
• 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
• GET /schedule_template: Get Schedule Template
• GET /schedule_template/{schedule_template_id}: This method retrieves the details of the specified template
• 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
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
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
• 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.