How to Use the autoRetouch MCP in AutoGen

Q: How do I set up autoRetouch for AutoGen?

Install the autogen-extmcp package. Use the server parameters to point to your Vinkius host and the McpToolAdapter will handle the rest.

Debate and refine your autoRetouch production pipeline using AutoGen multi-agent systems.

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Connect autoRetouch MCP to AutoGen

Create your Vinkius account to connect autoRetouch to AutoGen 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 AutoGen

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Perplexity

Debate image edits in AutoGen

Set up a critic agent to challenge the output of your `create_execution` calls. If the image quality doesn't meet the standard, the agents discuss the next steps. This ensures your product photos undergo rigorous review before finalizing a batch.

Automate autoRetouch decisions in AutoGen

Use `get_wallet_balance` as a constraint for your agents. If a budget agent flags low funds, it negotiates with the worker agent to pause tasks. It forces the system to reach a consensus before moving forward with expensive processing batches.

Manage workflows using AutoGen agents

Assign agents to monitor `list_workflows` and select the best process for new items. They compare parameters to ensure the right settings are used every time. This moves the burden of choice from you to the agent conversation.

Setup guide

Set up autoRetouch MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes autoRetouch tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="autoRetouch_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent autoRetouch data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="autoRetouch_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent autoRetouch data")
    print(result.messages[-1].content)

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about autoRetouch MCP in AutoGen

They can. By passing the tools to the AssistantAgent, your agents gain the ability to list, execute, and monitor image jobs.

Install the autogen-ext[mcp] package. Use the server parameters to point to your Vinkius host and the McpToolAdapter will handle the rest.

They will, provided you set up a multi-agent group chat. You can have one agent execute the job and another evaluate the returned execution ID.

It does. The tools support Streamable HTTP transports, allowing your agents to see real-time status updates as they arrive.

Yes. The server uses token-based auth for every request. Only your authorized agents hold the keys to interact with your image processing account.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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