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    "description": "Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator?\n\n[Join the community](https://www.skool.com/beyond-nodes-automation-lab-2006/about)\n\nComplete MCP server exposing 23 Feed API operations to AI agents.\n\n## ⚡ Quick Setup\n\n1. **Import** this workflow into your n8n instance\n2. **Credentials** Add Feed API credentials\n3. **Activate** the workflow to start your MCP server\n4. **Copy** the webhook URL from the MCP trigger node\n5. **Connect** AI agents using the MCP URL\n\n## 🔧 How it Works\n\nThis workflow converts the Feed API into an MCP-compatible interface for AI agents.\n\n• **MCP Trigger**: Serves as your server endpoint for AI agent requests\n• **HTTP Request Nodes**: Handle API calls to https://api.ebay.com{basePath}\n• **AI Expressions**: Automatically populate parameters via `$fromAI()` placeholders\n• **Native Integration**: Returns responses directly to the AI agent\n\n## 📋 Available Operations (23 total)\n\n### 🔧 Customer_Service_Metric_Task (3 endpoints)\n\n• **GET /customer_service_metric_task**: Get Customer Service Metric Task\n• **POST /customer_service_metric_task**: Create/Search Customer Service Metric Task\n• **GET /customer_service_metric_task/{task_id}**: Get {Task Id}\n\n### 🔧 Inventory_Task (3 endpoints)\n\n• **GET /inventory_task**: Get Inventory Task\n• **POST /inventory_task**: Create/Search Inventory Task\n• **GET /inventory_task/{task_id}**: Get {Task Id}\n\n### 🔧 Order_Task (3 endpoints)\n\n• **GET /order_task**: Get Order Task\n• **POST /order_task**: Create/Search Order Task\n• **GET /order_task/{task_id}**: This method retrieves the task details and status of the specified task\n\n### 🔧 Schedule (6 endpoints)\n\n• **GET /schedule**: Get Schedule Template\n• **POST /schedule**: Create/Search Schedule\n• **DELETE /schedule/{schedule_id}**: This method deletes an existing schedule\n• **GET /schedule/{schedule_id}**: This method retrieves schedule details and status of the specified schedule\n• **PUT /schedule/{schedule_id}**: This method updates an existing schedule\n• **GET /schedule/{schedule_id}/download_result_file**: This method downloads the latest result file generated by the schedule\n\n### 🔧 Schedule_Template (2 endpoints)\n\n• **GET /schedule_template**: Get Schedule Template\n• **GET /schedule_template/{schedule_template_id}**: This method retrieves the details of the specified template\n\n### 🔧 Task (6 endpoints)\n\n• **GET /task**: Upload Task File\n• **POST /task**: This method creates an upload task or a download task without filter criteria\n• **GET /task/{task_id}**: This method retrieves the details and status of the specified task\n• **GET /task/{task_id}/download_input_file**: Get Download Input File\n• **GET /task/{task_id}/download_result_file**: Get Download Result File\n• **POST /task/{task_id}/upload_file**: Create/Search Upload File\n\n## 🤖 AI Integration\n\n**Parameter Handling**: AI agents automatically provide values for:\n• Path parameters and identifiers\n• Query parameters and filters\n• Request body data\n• Headers and authentication\n\n**Response Format**: Native Feed API responses with full data structure\n\n**Error Handling**: Built-in n8n HTTP request error management\n\n## 💡 Usage Examples\n\nConnect this MCP server to any AI agent or workflow:\n\n• **Claude Desktop**: Add MCP server URL to configuration\n• **Cursor**: Add MCP server SSE URL to configuration\n• **Custom AI Apps**: Use MCP URL as tool endpoint\n• **API Integration**: Direct HTTP calls to MCP endpoints\n\n## ✨ Benefits\n\n• **Zero Setup**: No parameter mapping or configuration needed\n• **AI-Ready**: Built-in `$fromAI()` expressions for all parameters\n• **Production Ready**: Native n8n HTTP request handling and logging\n• **Extensible**: Easily modify or add custom logic\n\n> 🆓 **[Free for community use](https://github.com/Cfomodz/community-use)!** Ready to deploy in under 2 minutes.",
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              ]
            }
          }
        },
        "group": "[\"trigger\"]",
        "defaults": {
          "name": "MCP Server Trigger"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTgwIiBoZWlnaHQ9IjE4MCIgdmlld0JveD0iMCAwIDE5NSAxOTUiIGZpbGw9Im5vbmUiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyI+Cgk8ZyBzdHJva2U9IiMwMDAiIHN0cm9rZS13aWR0aD0iMTIiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCI+CgkJPHBhdGggZD0iTTI1IDk3Ljg1MjhMOTIuODgyMyAyOS45NzA2QzEwMi4yNTUgMjAuNTk4IDExNy40NTEgMjAuNTk4IDEyNi44MjMgMjkuOTcwNlYyOS45NzA2QzEzNi4xOTYgMzkuMzQzMSAxMzYuMTk2IDU0LjUzOTEgMTI2LjgyMyA2My45MTE3TDc1LjU1ODEgMTE1LjE3NyIvPgoJCTxwYXRoIGQ9Ik03Ni4yNjUzIDExNC40N0wxMjYuODIzIDYzLjkxMTdDMTM2LjE5NiA1NC41MzkxIDE1MS4zOTIgNTQuNTM5MSAxNjAuNzY1IDYzLjkxMTdMMTYxLjExOCA2NC4yNjUyQzE3MC40OTEgNzMuNjM3OCAxNzAuNDkxIDg4LjgzMzggMTYxLjExOCA5OC4yMDYzTDk5LjcyNDggMTU5LjZDOTYuNjAwNiAxNjIuNzI0IDk2LjYwMDYgMTY3Ljc4OSA5OS43MjQ4IDE3MC45MTNMMTEyLjMzMSAxODMuNTIiLz4KCQk8cGF0aCBkPSJNMTA5Ljg1MyA0Ni45NDExTDU5LjY0ODIgOTcuMTQ1N0M1MC4yNzU3IDEwNi41MTggNTAuMjc1NyAxMjEuNzE0IDU5LjY0ODIgMTMxLjA4N1YxMzEuMDg3QzY5LjAyMDggMTQwLjQ1OSA4NC4yMTY4IDE0MC40NTkgOTMuNTg5NCAxMzEuMDg3TDE0My43OTQgODAuODgyMiIvPgoJPC9nPgo8L3N2Zz4K"
        },
        "displayName": "MCP Server Trigger",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          },
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      }
    ],
    "categories": [
      {
        "id": 5,
        "name": "Engineering"
      },
      {
        "id": 48,
        "name": "AI RAG"
      }
    ],
    "image": []
  }
}