autoRetouch MCP Server for AutoGenGive AutoGen instant access to 11 tools to Create Execution, Get Batch, Get Execution, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add autoRetouch as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this App Connector for AutoGen
The autoRetouch app connector for AutoGen 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
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="autoretouch_agent",
tools=tools,
system_message=(
"You help users with autoRetouch. "
"11 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use autoRetouch tools. Connect 11 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen
When AutoGen 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.
Returns the execution ID. Start an image processing execution
Get details of a specific batch
Get details of a specific execution
Get details of a specific image
Get organization details
Get account wallet balance
Get details of a specific workflow
List all batches
List recent executions
List uploaded images
List all image processing workflows
Connect autoRetouch to AutoGen via MCP
Follow these steps to wire autoRetouch into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the autoRetouch MCP Server
AutoGen provides unique advantages when paired with autoRetouch through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use autoRetouch tools to solve complex tasks
Role-based architecture lets you assign autoRetouch tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive autoRetouch tool calls
Code execution sandbox: AutoGen agents can write and run code that processes autoRetouch tool responses in an isolated environment
autoRetouch + AutoGen Use Cases
Practical scenarios where AutoGen combined with the autoRetouch MCP Server delivers measurable value.
Collaborative analysis: one agent queries autoRetouch while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from autoRetouch, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using autoRetouch data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process autoRetouch responses in a sandboxed execution environment
Example Prompts for autoRetouch in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with autoRetouch immediately.
"List all active image processing workflows in my organization."
"Run the 'Ghost Mannequin' workflow (ID: 'wf_123') on image ID 'img_456'."
"Check status and get the result URL for execution 'exec_789'."
Troubleshooting autoRetouch MCP Server with AutoGen
Common issues when connecting autoRetouch to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"autoRetouch + AutoGen FAQ
Common questions about integrating autoRetouch MCP Server with AutoGen.