Imagine.io MCP Server for AutoGenGive AutoGen instant access to 10 tools to Check Imagine Status, Create Render Job, Get Account, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Imagine.io 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 Imagine.io app connector for AutoGen is a standout in the Ecommerce category — giving your AI agent 10 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="imagineio_agent",
tools=tools,
system_message=(
"You help users with Imagine.io. "
"10 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 Imagine.io MCP Server
Connect your Imagine.io account to any AI agent and take full control of your 3D product visualization and automated content generation workflows through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Imagine.io tools. Connect 10 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
- Project & Product Orchestration — List and manage your entire portfolio of 3D products programmatically, retrieving detailed technical metadata and SKU IDs
- Content Job Intelligence — Programmatically trigger and monitor 3D generation jobs (Viewer, AR, 360° Spin) to maintain a perfectly coordinated output pipeline
- Asset Architecture Monitoring — Access real-time statuses for 3D processing and retrieve hosted asset URLs (Viewer URLs, images) directly through your agent
- Shared Content Discovery — Access generated outputs and their metadata directly through your agent for instant operational reporting
- Operational Monitoring — Verify account-level API connectivity and monitor content generation volume directly through your agent for perfectly coordinated service scaling
The Imagine.io MCP Server exposes 10 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 10 Imagine.io tools available for AutoGen
When AutoGen connects to Imagine.io through Vinkius, your AI agent gets direct access to every tool listed below — spanning 3d-visualization, product-rendering, augmented-reality, 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.
Verify Imagine API connectivity
The job runs asynchronously; check status with get_job_status. Start a 3D render job
io account details and render credit balance. Get account info
Check render job status
Get product details
Get scene details
List available materials
io account with their render status and metadata. List all 3D products
List product renders
List all scenes
Connect Imagine.io to AutoGen via MCP
Follow these steps to wire Imagine.io 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 Imagine.io MCP Server
AutoGen provides unique advantages when paired with Imagine.io through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Imagine.io tools to solve complex tasks
Role-based architecture lets you assign Imagine.io 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 Imagine.io tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Imagine.io tool responses in an isolated environment
Imagine.io + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Imagine.io MCP Server delivers measurable value.
Collaborative analysis: one agent queries Imagine.io while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Imagine.io, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Imagine.io data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Imagine.io responses in a sandboxed execution environment
Example Prompts for Imagine.io in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Imagine.io immediately.
"List all my 3D products in Imagine."
"Start a render for product 'PROD-4821'."
"Show me all scenes available for product placement."
Troubleshooting Imagine.io MCP Server with AutoGen
Common issues when connecting Imagine.io to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Imagine.io + AutoGen FAQ
Common questions about integrating Imagine.io MCP Server with AutoGen.