How to Use the autoRetouch MCP in Claude Code

Q: How do I list autoRetouch jobs in Claude Code?

Use the listexecutions tool in your terminal prompt. Claude Code will output the recent job history as a JSON list.

Headless image processing for your terminal with Claude Code and autoRetouch.

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Connect autoRetouch MCP to Claude Code

Create your Vinkius account to connect autoRetouch to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup autoRetouch with Claude Code

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Claude Code executes remote retouching

Pipe your image data into `create_execution` from your terminal. Claude Code handles the response without needing a browser. It fits into your shell scripts for automated image cleanup. You build your pipeline, and the server does the heavy lifting.

Terminal-based batch tracking with Claude Code

Run `list_batches` to see your current processing queue. Claude Code displays the output directly in your CLI output stream. You can chain this with other shell commands to automate your reporting. It makes tracking your e-commerce assets a simple command-line task.

Claude Code checks your wallet balance

Query `get_wallet_balance` to verify your credits before a heavy CI/CD run. Claude Code gives you the number in plain text. You avoid failed jobs by checking your balance in the terminal. It keeps your automated pipelines running without surprise outages.

Setup guide

Set up autoRetouch MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see autoretouch-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest autoRetouch transactions." It will automatically discover and invoke the available autoRetouch tools.

Terminal

claude mcp add --transport http autoretouch-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the autoRetouch MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "autoretouch-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by autoRetouch. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about autoRetouch MCP in Claude Code

Yes. The server supports HTTP transport, making it compatible with GitHub Actions or other automated environments.

Use the `list_executions` tool in your terminal prompt. Claude Code will output the recent job history as a JSON list.

The server connects via a single endpoint. Claude Code manages the request regardless of your local shell environment.

You authenticate via a single endpoint token. This keeps your secret keys out of your terminal history and config files.

All logs are scoped to your organization. The server isolates your processing data from other users via the Vinkius sandbox architecture.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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