How to Use the Imagine.io MCP in CrewAI

Deploy autonomous agent crews to manage 3D visualization tasks with the Imagine.io MCP Server.

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Connect Imagine.io MCP to CrewAI

Create your Vinkius account to connect Imagine.io to CrewAI 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 Imagine.io with CrewAI

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Perplexity

Specialized agent rendering crews

Assign a dedicated agent to call `create_render_job` while another agent monitors the queue. This setup allows your crew to handle high-volume visualization tasks effectively. The monitor agent uses `get_job_status` to track progress. If a job stalls, the agent can report the issue to your main system for manual review.

Collaborative scene and product analysis

Have your research agent call `list_products` to identify which items require new renders. The agent then passes this list to the creative agent for processing. Use `get_product` to gather the necessary metadata for each render. This shared memory allows the crew to work with consistent information across all tasks.

Connectivity and status monitoring

Include a diagnostic agent that calls `check_imagine_status` at the start of every shift. If the connection drops, the agent can pause the crew's operations. This proactive approach prevents wasted compute cycles. Your agents remain aware of the platform state at all times.

Setup guide

Set up Imagine.io MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Imagine.io tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Imagine.io Analyst",
    goal="Access and analyze Imagine.io data via MCP.",
    backstory="Expert analyst with direct Imagine.io access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Imagine.io transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Imagine.io Analyst",
        goal="Access and analyze Imagine.io data via MCP.",
        backstory="Expert analyst with direct Imagine.io access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Imagine.io transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 Imagine.io. 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 Imagine.io MCP in CrewAI

Pass the server URL directly into your agent's MCP configuration. The crew will automatically discover and use the available tools.

Yes. You can build a crew where one agent fetches products and another triggers renders. This creates a fully autonomous loop for your 3D assets.

Yes. Use the tool filter to restrict which agents can access specific tools. This keeps your agent permissions tight and secure.

The research agent calls the list tool to gather all active renders. It then updates your internal database or notifies you of the current workload.

Your data is scoped to your account and managed via the MCP protocol. No external parties have access to your private 3D assets or account details.

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