autoRetouch Connector for AI agents.
11 live capabilities
Automate high-fidelity product photo retouching and background removal at scale.
Waiting for input…
Why people use autoRetouch
AutoRetouch for E-commerce Catalog Automation
This Connector changes that by making your AI client your digital imaging engineer. You can just tell your agent to start the background removal for the summer collection, and it handles the uploads and batching. You get a finished catalog of high-fidelity images without ever opening a browser tab.
What Vinkius changes
You turn your AI client into a production-ready image editing suite that handles the tedious stuff for you.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Catalog Refresh
An e-commerce owner tells their agent to 'Remove the background from all 50 new sneaker photos' and the agent uses create_execution to start the batch.
- Real-world use case 02
Agency Scaling
A marketing lead asks the agent to 'Apply the Ghost Mannequin workflow to the latest clothing set,' and the agent handles the batch processing.
- Real-world use case 03
Photographer Workflow
A photographer wants to check progress on a shoot and asks, 'Are the lifestyle shots finished yet?
Complete set · 11capabilities
The complete autoRetouch capability set.
These are the exact actions your AI can choose when you ask it to work with autoRetouch.
01—04
4 capabilities in this set.
Part of 11 available through autoRetouch.
- 01 Capability
Create execution
Start an image processing task to apply effects like background removal. You get a unique ID to track the progress of the edit.
- 02 Capability
Get execution
Pull the current status and metadata for a single image processing task. Use this to see exactly when a specific photo is ready.
- 03 Capability
Get image
Retrieve specific details for an individual image in your library. This is useful for checking the properties of a single asset.
- 04 Capability
Get organization
Get your organization's profile details and account info. Use this to verify your account settings and organizational data.
05—08
4 capabilities in this set.
Part of 11 available through autoRetouch.
- 05 Capability
Get wallet balance
Check how much credit you have left in your autoRetouch wallet. This keeps you informed of your remaining budget for image processing.
- 06 Capability
Get workflow
See the specific parameters of a saved image processing workflow. This allows you to review the exact steps used for a particular edit.
- 07 Capability
List batches
See a full list of all batches you've created. This makes it easy to manage multiple sets of product photos at once.
- 08 Capability
List executions
View a history of your recent image processing tasks. This helps you keep track of every edit your agent has performed.
09—11
3 capabilities in this set.
Part of 11 available through autoRetouch.
- 09 Capability
List images
See all the images you've uploaded to your account. This provides a quick way to browse your entire media library.
- 10 Capability
List workflows
Browse all the image processing workflows available in your account. This lets you quickly find and select the right editing pipeline.
- 11 Capability
Get batch
Fetch the specific details and status of a previously created batch. This helps you manage large groups of images as a single project.
Set up in minutes
One URL. Then ask autoRetouch to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use autoRetouch from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_5AWw7Y7S7Xbt5L7ntz9BdW1fFNyLMk1GJi8fnC6W/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it autoRetouch, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable autoRetouch for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_5AWw7Y7S7Xbt5L7ntz9BdW1fFNyLMk1GJi8fnC6W/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the autoRetouch URL.
- Step 03
Save and start
Save the connection and enable autoRetouch in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"autoretouch": {
"url": "https://edge.vinkius.com/vk_preview_5AWw7Y7S7Xbt5L7ntz9BdW1fFNyLMk1GJi8fnC6W/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using autoRetouch
Open Agent mode in chat and ask: "Using autoRetouch, help me...". 11 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"autoretouch": {
"url": "https://edge.vinkius.com/vk_preview_5AWw7Y7S7Xbt5L7ntz9BdW1fFNyLMk1GJi8fnC6W/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using autoRetouch
Ask Copilot: "Using autoRetouch, help me...". 11 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"autoretouch": {
"url": "https://edge.vinkius.com/vk_preview_5AWw7Y7S7Xbt5L7ntz9BdW1fFNyLMk1GJi8fnC6W/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using autoRetouch
Open Cascade and ask: "Using autoRetouch, help me...". 11 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"autoretouch": {
"url": "https://edge.vinkius.com/vk_preview_5AWw7Y7S7Xbt5L7ntz9BdW1fFNyLMk1GJi8fnC6W/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using autoRetouch
Ask Cline: "Using autoRetouch, help me...". 11 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add autoretouch --transport http "https://edge.vinkius.com/vk_preview_5AWw7Y7S7Xbt5L7ntz9BdW1fFNyLMk1GJi8fnC6W/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using autoRetouch
Ask Claude: "Using autoRetouch, show me...". 11 tools are ready
Where the request belongs
Work autoRetouch can move forward.
This is for the e-commerce manager who's drowning in product shots, the agency lead who needs to scale content production without hiring more editors, and the photographer who wants to automate the boring parts of a gallery.
E-commerce Catalog Manager
Uses this to process hundreds of new product photos for a seasonal launch without manual clicks.
Marketing Agency Content Lead
Automates background removal and color balancing for multiple clients in one go.
Commercial Photographer
Orchestrates complex retouching sequences across large batches of lifestyle shots.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsPhotoroom
Remove backgrounds, retouch product photos, and generate studio-quality images with AI editing capabilities built for e-commerce.
Claid AI
Automate AI image processing via Claid. upscale resolution, remove backgrounds, and enhance product photos directly from any AI agent.
Viesus
Enhance photos automatically with AI that adjusts exposure, color balance, and sharpness to make every image look professional.
Remove.bg
Remove image backgrounds automatically in seconds using AI. process URLs or base64 images and manage your credit balance.
DeepAI
Generate and edit images using AI. create art from text, remove backgrounds, colorize photos, and upscale images directly from your AI agent.
APImage
Search and license editorial photography from one of the world largest press image archives for media and publishing.
Bring your own AI
Change the model, client or framework. Keep autoRetouch connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about autoRetouch.
The practical details behind the request, access and result.
Can the autoRetouch MCP handle thousands of images at once?
Yes, it's designed for high-volume processing. You can group images into batches and have your agent manage the entire queue, making it ideal for large e-commerce catalogs.
What kind of edits does the autoRetouch MCP perform?
It handles high-fidelity tasks like background removal, shadow generation, color correction, and beauty editing. You can choose specific workflows to match your brand's style.
How do I see how much credit I have left with autoRetouch?
You can just ask your AI client to check your wallet balance. It will pull the current data from your account so you can monitor your spending in real-time.
Can I use the autoRetouch MCP for professional photography?
Absolutely. It's a great way for photographers to orchestrate complex retouching sequences for lifestyle or product shoots without doing the manual work.
Does the autoRetouch MCP work with my current AI client?
Yes, it works with any MCP-compatible client like Claude or Cursor. Once connected, your agent can trigger any of the available image processing capabilities.
How does the autoRetouch MCP handle batch tracking?
It lets you group multiple executions into tracked batches. This means you can oversee your organization's entire image editing volume in one place.
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 capability will return high-fidelity error metadata to help you diagnose and re-run the task programmatically.
One connection away
Give your agent a direct line to autoRetouch.
Connect autoRetouch once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available