How to Use the autoRetouch MCP in OpenAI Agents SDK

Trigger heavy e-commerce image processing pipelines directly from your OpenAI Agents SDK production deployment.

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Connect autoRetouch MCP to OpenAI Agents SDK

Create your Vinkius account to connect autoRetouch to OpenAI Agents SDK 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 OpenAI Agents SDK

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Run bulk image edits with OpenAI Agents SDK

Your agent can kick off heavy image editing pipelines without human intervention. By using `create_execution` and `list_workflows`, the agent matches incoming e-commerce raw photos to your pre-configured studio styles. It handles the API handshake and begins processing background removals or color corrections instantly. This setup runs inside your production pipelines using the official OpenAI Agents SDK. You pass the endpoint to `MCPServerStreamableHttp` and let the agent manage the image state natively. If an execution stalls, the agent queries `get_execution` to diagnose the issue and retry.

Track operational costs via MCP Server tools

Avoid unexpected shutdowns during large inventory updates. Your agent calls `get_wallet_balance` before spinning up a massive batch of photo edits. If the balance runs low, the agent halts the queue and alerts your team over Slack before any API calls fail. You get full visibility through the OpenAI tracing dashboard. Every call to `list_batches` or `get_batch` is logged, letting you audit how your agent manages resource usage. It prevents silent failures and keeps your automated studio running within budget.

Inspect processed image assets on the fly

Keep your catalog database perfectly synced with your edited media. The agent uses `list_images` and `get_image` to check which files are ready for your Shopify or Amazon listings. It compares the processed assets against your database records to find missing product shots. This keeps your catalog fresh without manual folder scanning. The agent pulls the exact asset metadata, verifies the output, and prepares the next batch of raw uploads. It turns a messy asset pipeline into a self-correcting loop.

Setup guide

Set up autoRetouch MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all autoRetouch tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives autoRetouch tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate autoRetouch tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="autoRetouch Agent",
            instructions="You have access to autoRetouch tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

Install the package using pip install openai-agents. Then, initialize the server using MCPServerStreamableHttp with your endpoint URL and pass it into your Agent constructor. Set cacheToolsList=True to keep tool discovery fast and efficient.

Yes, your agent can discover and trigger any workflow you have set up in your account. It uses list_workflows to see what is available and then runs the correct edit by passing the workflow ID to create_execution.

The MCP Server exposes structured tools that return lightweight JSON metadata instead of raw, heavy binary images. Your agent reads clean details from get_image or get_execution, keeping context usage extremely low.

Use the OpenAI tracing dashboard to inspect the exact arguments passed to create_execution. You can also have a specialized agent call get_execution to read the error payload and decide whether to rerun the task.

Your e-commerce image files are processed through the autoRetouch secure cloud infrastructure. The server only handles metadata and temporary URLs, meaning your raw product photography is never exposed to public LLM training sets.

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