Search and retrieve eBay product data with Catalog API for AI agents
Complete MCP server exposing 2 Catalog API operations to AI agents.
⚡ Quick Setup
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- Import this workflow into your n8n instance
- Credentials Add Catalog API 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 Catalog 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 (2 total)
🔧 Product (1 endpoints)
• GET /product/{epid}: Get {Epid}
🔧 Product_Summary (1 endpoints)
• GET /product_summary/search: Search Product Summaries
🤖 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 Catalog 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.
n8n Workflow: Model Context Protocol (MCP) Server Trigger
This n8n workflow demonstrates a basic setup for an n8n workflow designed to be triggered by the Model Context Protocol (MCP). It acts as a server that listens for incoming requests from AI agents or other systems communicating via the MCP.
What it does
This workflow is a foundational template for building AI agent interactions within n8n. Specifically, it:
- Listens for MCP Requests: The workflow starts with an "MCP Server Trigger" node, which configures n8n to act as a server, waiting for incoming requests following the Model Context Protocol.
Prerequisites/Requirements
- n8n Instance: An active n8n instance where this workflow can be imported and run.
- Model Context Protocol (MCP) Client: An AI agent, application, or system capable of sending requests formatted according to the Model Context Protocol to the n8n instance.
Setup/Usage
- Import the Workflow:
- Download the provided JSON file.
- In your n8n instance, go to "Workflows" and click "New".
- Click the "Import from JSON" button and paste the workflow JSON or upload the file.
- Activate the Workflow:
- Once imported, ensure the workflow is active by toggling the "Active" switch in the top right corner of the workflow editor.
- Send MCP Requests:
- Your MCP-compliant client can now send requests to the endpoint exposed by this n8n workflow. The exact endpoint URL will be displayed in the "MCP Server Trigger" node's configuration once the workflow is active.
This workflow serves as a starting point. You would typically extend it by adding more nodes after the "MCP Server Trigger" to process the incoming data, interact with other services (like databases, APIs, or other AI models), and return a response to the MCP client.
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By Daniel NkenchoAutomate invoice processing with OCR, GPT-4 & Salesforce opportunity creation
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