Mercedes-Benz Vehicle Image Retrieval Workflow

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This n8n workflow is designed to automate the process of retrieving various vehicle images from an MCP (Mercedes-Benz Corporate Platform) server. The goal is to streamline the collection of specific vehicle component images, such as engine, paint, rim, trim, upholstery, and PNG images, by triggering a webhook that initiates multiple HTTP requests.

The workflow begins with a dedicated trigger node ‘Vehicle Image MCP Server’, which listens for incoming requests via a webhook. Once activated, the workflow proceeds to fetch images through a series of HTTP request nodes, each configured to request specific vehicle images from the server. These include:

– Component Images

– Engine Image

– Equipment Images

– Paint Images

– Rim Image

– Trim Image

– Upholstery Images

– PNG Format Images

The design allows for efficient batching or targeted retrieval of multiple vehicle assets, making it highly useful in scenarios like vehicle customization platforms, inventory management, or dealership systems where quick access to detailed vehicle imagery is necessary.

The workflow is currently inactive but can be activated to automate the image collection process on demand, improving efficiency and ensuring consistent data retrieval for vehicle related activities.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.mcpTrigger, httpRequestTool, stickyNote

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