Background Removal API MCP Server for AI Agents

Transforms remove.bg API into an MCP server exposing account balance, image improvement, and background removal endpoints for easy AI agent integration.

n8n
Background Removal API MCP Server for AI Agents

This n8n workflow creates a complete MCP (Model Context Protocol) server that exposes three key operations from the Background Removal API (remove.bg) to AI agents. It includes GET /account for fetching account balance, POST /improve for enhancing images, and POST /removebg for removing image backgrounds. The MCP Trigger node serves as the endpoint, handling incoming requests from AI agents like Claude Desktop or Cursor, while HTTP Request nodes manage API calls to https://api.remove.bg/v1.0. AI expressions with $fromAI() placeholders automatically populate parameters, ensuring seamless integration without manual configuration.

Benefits include rapid deployment of image processing capabilities for AI workflows, native error handling via n8n, and direct response formatting compatible with AI agents. It saves significant time by abstracting complex API interactions into a simple webhook URL, enabling AI-driven automation for tasks like product photo editing, fitness image cleanup, or content creation.

Use cases span e-commerce (auto-remove backgrounds from product shots), health & fitness (enhance workout photos), marketing (improve visuals for social media), and AI agent toolchains. Quick setup: import, add credentials, activate, copy webhook, and connect. Ideal for developers building AI-powered image pipelines.

$12.99
Last updated October 3, 2026
30-day money-back guarantee
Instant download
Lifetime updates included

New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.

Secure checkout powered by Stripe

Support

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.

Related Health & Fitness workflows

More from QualityWorkflows

Need this deployed? We'll set it up for you.

Our automation experts deploy this workflow in your stack, connect your accounts, and verify it works — or build a custom solution from scratch.