How do I find my autoRetouch API credentials?

Log in to your account, navigate to the API section to generate an Access Token (Bearer), and find your Organization ID in the organization settings.

Can I process multiple images at once?

Yes! You can trigger individual executions programmatically and group them into a single batch for high-fidelity tracking.

What happens if a process fails?

The `get_execution_status` tool will return high-fidelity error metadata to help you diagnose and re-run the task programmatically.

INSTANT PLUG AND PLAY

autoRetouch MCP Server for Claude CodeGive Claude Code instant access to 11 tools to Create Execution, Get Batch, Get Execution, and more

Name: autoRetouch
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 11 Tools CLI

Claude Code is Anthropic's agentic CLI for terminal-first development. Add autoRetouch as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.

Use with Your AI Agent

Ask AI about this App Connector for Claude Code

Open in ChatGPT Open in Claude Open in Perplexity

The autoRetouch app connector for Claude Code is a standout in the Ecommerce category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install autoRetouch and 3,400+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·bash

# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add autoretouch --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About autoRetouch MCP Server

Connect your autoRetouch account to any AI agent and take full control of your automated image editing and high-fidelity retouching workflows through natural conversation.

Claude Code registers autoRetouch as an MCP server in a single terminal command. Once connected, Claude Code discovers all 11 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where autoRetouch data drives decisions without human intervention.

What you can do

Workflow Orchestration — Execute complex high-fidelity AI workflows for background removal, color correction, and shadow generation programmatically
Bulk Processing Intelligence — Programmatically upload raw images and monitor their processing status in real-time to maintain a perfectly coordinated media pipeline
Result Discovery — Retrieve high-fidelity result URLs for processed images and access detailed metadata for every individual execution
Lifecycle Management — Group multiple executions into tracked batches to oversee your organization's image editing volume efficiently
Financial Visibility — Access your organization's wallet balance and profile metadata directly through your agent for instant operational reporting

The autoRetouch MCP Server exposes 11 tools through the Vinkius. Connect it to Claude Code in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 autoRetouch tools available for Claude Code

When Claude Code connects to autoRetouch through Vinkius, your AI agent gets direct access to every tool listed below — spanning photo-editing, background-removal, image-processing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_execution

Returns the execution ID. Start an image processing execution

get_batch

Get details of a specific batch

get_execution

Get details of a specific execution

get_image

Get details of a specific image

get_organization

Get organization details

get_wallet_balance

Get account wallet balance

get_workflow

Get details of a specific workflow

list_batches

List all batches

list_executions

List recent executions

list_images

List uploaded images

list_workflows

List all image processing workflows

Connect autoRetouch to Claude Code via MCP

Follow these steps to wire autoRetouch into Claude Code. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed

Add the MCP Server

Run the command above in your terminal

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session

Start using autoRetouch

Ask Claude: "Using autoRetouch, show me...". 11 tools are ready

Why Use Claude Code with the autoRetouch MCP Server

Claude Code provides unique advantages when paired with autoRetouch through the Model Context Protocol.

Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart

Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

Claude Code runs headlessly, enabling unattended batch processing using autoRetouch tools in cron jobs or deployment scripts

Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

autoRetouch + Claude Code Use Cases

Practical scenarios where Claude Code combined with the autoRetouch MCP Server delivers measurable value.

CI/CD integration: embed autoRetouch tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping

Headless batch processing: schedule Claude Code to query autoRetouch nightly and generate reports without human intervention

Shell scripting: pipe autoRetouch outputs into other CLI tools for data transformation, filtering, and aggregation

Infrastructure monitoring: run Claude Code in a cron job to query autoRetouch status endpoints and alert on anomalies

Example Prompts for autoRetouch in Claude Code

Ready-to-use prompts you can give your Claude Code agent to start working with autoRetouch immediately.

"List all active image processing workflows in my organization."

"Run the 'Ghost Mannequin' workflow (ID: 'wf_123') on image ID 'img_456'."

"Check status and get the result URL for execution 'exec_789'."

Troubleshooting autoRetouch MCP Server with Claude Code

Common issues when connecting autoRetouch to Claude Code through the Vinkius, and how to resolve them.

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code

Connection timeout

Check your internet connection and verify the Edge URL is reachable

autoRetouch + Claude Code FAQ

Common questions about integrating autoRetouch MCP Server with Claude Code.

How do I add an MCP server to Claude Code?

Run claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.