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.

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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! Ready to deploy in under 2 minutes.

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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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