Expose eBay Browse API for AI Agents with MCP Server
Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator? [Join the community](https://www.skool.com/beyond-nodes-automation-lab-2006/about) Complete MCP server exposing 11 Browse API operations to AI agents. ## Quick Setup 1. **Import** this workflow into your n8n instance 2. **Credentials** Add Browse 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 Browse 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/browse/v1 - **AI Expressions**: Automatically populate parameters via `$fromAI()` placeholders - **Native Integration**: Returns responses directly to the AI agent ## Available Operations (11 total) ### Item (5 endpoints) - **GET /item/**: Check Item Compatibility - **GET /item/get_item_by_legacy_id**: Get Item By Legacy Id - **GET /item/get_items_by_item_group**: This method retrieves the details of the individual items in an item group - **GET /item/{item_id}**: Get {Item Id} - **POST /item/{item_id}/check_compatibility**: This method checks if a product is compatible with the specified item ### Item_Summary (2 endpoints) - **GET /item_summary/search**: Search Items by Image - **POST /item_summary/search_by_image**: This is an Experimental method ### Shopping_Cart (4 endpoints) - **GET /shopping_cart/**: Update Cart Item Quantity - **POST /shopping_cart/add_item**: This is an Experimental method - **POST /shopping_cart/remove_item**: This is an experimental method - **POST /shopping_cart/update_quantity**: This is an experimental method ## AI Integration **Parameter Handling**: AI agents automatically provide values for: - Path parameters and identifiers - Query parameters and filters - Request body data - Headers and authentication **Response Format**: Native Browse API responses with full data structure **Error Handling**: Built-in n8n HTTP request error management ## Usage Examples Connect this MCP server to any AI agent or workflow: - **Claude Desktop**: Add MCP server URL to configuration - **Cursor**: Add MCP server SSE URL to configuration - **Custom AI Apps**: Use MCP URL as tool endpoint - **API Integration**: Direct HTTP calls to MCP endpoints ## Benefits - **Zero Setup**: No parameter mapping or configuration needed - **AI-Ready**: Built-in `$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](https://github.com/Cfomodz/community-use)!** Ready to deploy in under 2 minutes.
Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator?
Complete MCP server exposing 11 Browse API operations to AI agents.
Quick Setup
- Import this workflow into your n8n instance
- Credentials Add Browse 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 Browse 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/browse/v1
- AI Expressions: Automatically populate parameters via
$fromAI()placeholders - Native Integration: Returns responses directly to the AI agent
Available Operations (11 total)
Item (5 endpoints)
- GET /item/: Check Item Compatibility
- GET /item/get_item_by_legacy_id: Get Item By Legacy Id
- GET /item/get_items_by_item_group: This method retrieves the details of the individual items in an item group
- GET /item/{item_id}: Get {Item Id}
- POST /item/{item_id}/check_compatibility: This method checks if a product is compatible with the specified item
Item_Summary (2 endpoints)
- GET /item_summary/search: Search Items by Image
- POST /item_summary/search_by_image: This is an Experimental method
Shopping_Cart (4 endpoints)
- GET /shopping_cart/: Update Cart Item Quantity
- POST /shopping_cart/add_item: This is an Experimental method
- POST /shopping_cart/remove_item: This is an experimental method
- POST /shopping_cart/update_quantity: This is an experimental method
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 Browse 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.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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