This automation workflow on n8n implements an MCP server to retrieve vehicle component images from Mercedes-Benz based on structured requests. It enables AI agents and internal systems to instantly access visual data for engines, rims, paint colors, upholstery, and other parts—eliminating manual search.
## Who it´s for
- Specialists managing digital car catalogs who need automated access to component images
- AI agent developers integrating branded Mercedes-Benz data
- Technical staff at dealerships automating visual material selection for customers
## What the automation does
- Processes incoming HTTP requests via an MCP trigger
- Identifies the requested component type (engine, paint, rim, etc.)
- Executes the corresponding HTTP request to an external image source
- Returns the image URL to the calling agent or system
- Supports a scalable structure: new component categories can be added easily
- Integrates with AI agents using the standard MCP interface
## What´s included
- Ready-to-use n8n workflow
- Trigger and handler logic per component type
- Integrations with HTTP API, LangChain, and MCP Server
- Support for external image hosting and hypothetical Mercedes-Benz Vehicle Image API
- Basic text instructions for launch and adaptation
## Requirements for setup
- n8n account with MCP Server enabled
- Access to external image sources (e.g., corporate hosting or API)
- Configured HTTP endpoints for each component category
- Compatible AI agent supporting MCP tools
## Benefits and outcomes
- Accelerates access to visual data without manual lookup
- Ensures consistency of images in presentations and catalogs
- Simplifies integration with AI assistants and car configurators
- Reduces workload on technical staff handling component requests
- Scales through modular HTTP tool architecture
- Improves AI agent response accuracy with reliable sources
## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.
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