AI Agent Integration with Ebay Buy Marketing API

The workflow JSON

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{
  "id": "44kmM0ECqkFTMjyE",
  "meta": null,
  "name": "[eBay] Buy Marketing API MCP Server",
  "tags": [],
  "nodes": [
    {
      "id": "c220949f-8f9d-4c61-849a-b886da204782",
      "name": "Setup Instructions",
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      "position": [
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      "parameters": {
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        "content": "### \u2699\ufe0f Setup Instructions\n\n1. **Import Workflow**: \nLoad this workflow into your n8n instance\n\n2. **Configure Authentication**: \nSet up oauth2 credentials\n\n3. **Activate Workflow**:\nEnable the workflow to start the MCP server\n\n4. **Get MCP URL**: \nCopy the webhook URL from the MCP trigger\n\n5. **Connect AI Agent**:\nUse the MCP URL in your AI agent configuration\n\n\n### \ud83d\udca1 Usage Notes\n\u2022 Parameters are auto-populated by AI using $fromAI() expressions\n\u2022 With 1 API endpoints available as tools\n\u2022 Responses maintain original API structure\n\n\n### \ud83d\udee0\ufe0f Customization\n\u2022 Add data transformation nodes if needed\n\u2022 Implement custom error handling\n\u2022 Add logging or monitoring nodes\n\n\u2022 Modify parameter defaults in any HTTP request node as needed\n\n### \ud83d\udcac Need Help?\nPing me on [discord](https://discord.me/cfomodz) for integration guidance and custom automations. Check the [n8n documentation](https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.toolmcp/) for more information."
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      "parameters": {
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        "content": "## \ud83d\udee0\ufe0f Buy Marketing MCP Server \u2705 1 operations\n\n### About\nThe Marketing API retrieves eBay products based on a metric, such as Best Selling, as well as products that were also bought and also viewed.\n\n### \ud83d\udd27 How it Works\n\nThis workflow converts the Buy Marketing API into an MCP-compatible interface for AI agents.\n\n\u2022 **MCP Trigger**: Serves as your server endpoint for AI agent requests\n\u2022 **HTTP Request Nodes**: Handle API calls to https://api.ebay.com/buy/marketing/v1_beta\n\u2022 **AI Expressions**: Automatically populate parameters via `$fromAI()` placeholders\n\u2022 **Native Integration**: Returns responses directly to the AI agent\n\n\n### \ud83d\udccb Available Operations (1 endpoints)\n\n**Merchandised Product (1 operations)**\nFetch Merchandised Products\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "ea139953-d990-435c-afce-ae78f9b1b4d3",
      "name": "Buy Marketing MCP Server",
      "type": "@n8n/n8n-nodes-langchain.mcpTrigger",
      "position": [
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      "parameters": {
        "path": "buy-marketing-mcp"
      },
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    {
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      "parameters": {
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        "width": 320,
        "height": 220,
        "content": "## Merchandised Product"
      },
      "typeVersion": 1
    },
    {
      "id": "3748b148-d6b3-4a7b-b328-8dfc8b258d54",
      "name": "Fetch Merchandised Products",
      "type": "n8n-nodes-base.httpRequestTool",
      "position": [
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      ],
      "parameters": {
        "url": "=https://api.ebay.com/buy/marketing/v1_beta/merchandised_product",
        "options": {},
        "sendQuery": true,
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "queryParameters": {
          "parameters": [
            {
              "name": "aspect_filter",
              "value": "={{ $fromAI('aspect_filter', 'The aspect name/value pairs used to further refine product results. For example:    /buy/marketing/v1_beta/merchandised_product?category_id=31388&metric_name=BEST_SELLING&aspect_filter=Brand:Canon You can use the Browse API search method with the fieldgroups=ASPECT_REFINEMENTS field to return the aspects of a product. For implementation help, refer to eBay API documentation at https://developer.ebay.com/api-docs/buy/marketing/types/gct:MarketingAspectFilter', 'string') }}"
            },
            {
              "name": "category_id",
              "value": "={{ $fromAI('category_id', 'This query parameter limits the products returned to a specific eBay category. The list of eBay category IDs is not published and category IDs are not all the same across all the eBay maketplace. You can use the following techniques to find a category by site: Use the <a href=\"https://pages.ebay.com/sellerinformation/news/categorychanges.html\" target=\"_blank\">Category Changes page</a>. Use the Taxonomy API. For details see <a href=\"/api-docs/buy/buy-categories.html\">Get Categories for Buy APIs</a>. Use the Browse API and submit the following method to get the dominantCategoryId for an item. /buy/browse/v1/item_summary/search?q=keyword&fieldgroups=ASPECT_REFINEMENTS Maximum: 1 Required: 1', 'string') }}"
            },
            {
              "name": "limit",
              "value": "={{ $fromAI('limit', 'This value specifies the maximum number of products to return in a result set. Note: Maximum value means the method will return up to that many products per set, but it can be less than this value. If the number of products found is less than this value, the method will return all of the products matching the criteria. Default: 8 Maximum: 100', 'string') }}"
            },
            {
              "name": "metric_name",
              "value": "={{ $fromAI('metric_name', 'This value filters the result set by the specified metric. Only products in this metric are returned. Currently, the only metric supported is BEST_SELLING. Default: BEST_SELLING Maximum: 1 Required: 1', 'string') }}"
            }
          ]
        },
        "toolDescription": "Array of products based on the category and metric specified. This includes details of the product, such as the eBay product ID (EPID), title, and user reviews and ratings for the product. You can use the epid returned by this method in the Browse API search method to retrieve items for this product. Restrictions To test getMerchandisedProducts in Sandbox, you must use category ID 9355 and the response will be mock data. For a list of supported sites and other restrictions, see <a href=\"/api-docs/buy/marketing/overview.html#API\">API Restrictions</a>.\n\nParameters:\n- Query parameters:\n  \u2022 aspect_filter (optional) - Aspect name/value pairs used to further refine product results. For example: &nbsp;&nbsp;&nbsp;/buy/marketing/v1_beta/merchandised_product?category_id=31388&metric_name=BEST_SELLING&aspect_filter=Brand:Canon You can use the Browse API search method with the fieldgroups=ASPECT_REFINEMENTS field to return the aspects of a product. For implementation help, refer to eBay API documentation at https://developer.ebay.com/api-docs/buy/marketing/types/gct:MarketingAspectFilter\n  \u2022 category_id (required) - Query parameter limits the products returned to a specific eBay category. The list of eBay category IDs is not published and category IDs are not all the same across all the eBay maketplace. You can use the following techniques to find a category by site: Use the <a href=\"https://pages.ebay.com/sellerinformation/news/categorychanges.html\" target=\"_blank\">Category Changes page</a>. Use the Taxonomy API. For details see <a href=\"/api-docs/buy/buy-categories.html\">Get Categories for Buy APIs</a>. Use the Browse API and submit the following method to get the dominantCategoryId for an item. /buy/browse/v1/item_summary/search?q=keyword&fieldgroups=ASPECT_REFINEMENTS Maximum: 1 Required: 1\n  \u2022 limit (optional) - Value specifies the maximum number of products to return in a result set. Note: Maximum value means the method will return up to that many products per set, but it can be less than this value. If the number of products found is less than this value, the method will return all of the products matching the criteria. Default: 8 Maximum: 100\n  \u2022 metric_name (required) - Value filters the result set by the specified metric. Only products in this metric are returned. Currently, the only metric supported is BEST_SELLING. Default: BEST_SELLING Maximum: 1 Required: 1"
      },
      "typeVersion": 4.2
    }
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        "icon": null,
        "name": "David Ashby <david.ashby.lds@gmail.com>",
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              "email": "david.ashby.lds@gmail.com",
              "disabled": false,
              "lastName": "Ashby",
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  "settings": {
    "timezone": "America/New_York"
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  "isArchived": false,
  "staticData": null,
  "connections": {
    "Fetch Merchandised Products": {
      "ai_tool": [
        [
          {
            "node": "Buy Marketing MCP Server",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    }
  },
  "triggerCount": 0
}

About this workflow

Complete MCP server exposing 1 Buy Marketing API operations to AI agents.

Source: https://n8n.io/workflows/5567/ — original creator credit. Request a take-down →

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