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autoRetouch MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Create Execution, Get Batch, Get Execution, and more

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect autoRetouch through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The autoRetouch app connector for OpenAI Agents SDK 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

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="autoRetouch Assistant",
            instructions=(
                "You help users interact with autoRetouch. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from autoRetouch"
        )
        print(result.final_output)

asyncio.run(main())
autoRetouch
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High SecurityEnterprise-grade
IAMAccess control
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DLPData protection
V8 IsolateSandboxed
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<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.

The OpenAI Agents SDK auto-discovers all 11 tools from autoRetouch through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries autoRetouch, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

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

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 11 tools from autoRetouch

Why Use OpenAI Agents SDK with the autoRetouch MCP Server

OpenAI Agents SDK provides unique advantages when paired with autoRetouch through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

autoRetouch + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the autoRetouch MCP Server delivers measurable value.

01

Automated workflows: build agents that query autoRetouch, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries autoRetouch, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through autoRetouch tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query autoRetouch to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for autoRetouch in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with autoRetouch immediately.

01

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

02

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

03

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

Troubleshooting autoRetouch MCP Server with OpenAI Agents SDK

Common issues when connecting autoRetouch to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

autoRetouch + OpenAI Agents SDK FAQ

Common questions about integrating autoRetouch MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.