How to Use the Creatomate MCP in AutoGen

Build AutoGen multi-agent systems that debate video layouts, coordinate rendering tasks, and manage media assets together.

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Connect Creatomate MCP to AutoGen

Create your Vinkius account to connect Creatomate 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 Creatomate with AutoGen

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Claude

Perplexity

Consensus-Driven Video Production

One agent drafts the script while another validates the visual layout. They talk it out before spending money on compute. The design agent checks `get_template_details` to see what fits. If the text is too long, the script agent rewrites it before anyone calls `render_video`.

Quality Control via AutoGen MCP Server

You do not want unreviewed media going live. Set up a critic agent to verify every output. A manager agent polls `get_render_status`. Once finished, the critic reviews the metadata from `list_recent_renders` and decides if the job meets campaign standards.

Coordinated Asset Management

Competing perspectives prevent mistakes. A security agent can block a render if the media source looks suspicious. The team reviews available files using `list_media_assets`. They negotiate which images to use based on the project constraints pulled from `get_project_settings`.

Setup guide

Set up Creatomate 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 Creatomate 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="Creatomate_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Creatomate 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="Creatomate_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Creatomate 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 Creatomate. 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 Creatomate MCP in AutoGen

Install the MCP extension for AutoGen. Pass the Vinkius URL to the server tools parameter, and the adapter handles the rest.

The MCP tools get passed to the AssistantAgent constructor. Any agent with those tools in its configuration can interact with the API.

A researcher agent can execute the search. It then shares the results with the rest of the group chat for deliberation.

The built-in adapter automatically translates the standard schema into a format the agents understand natively.

Vinkius relies on ephemeral execution. The container processing your video metadata exists only for the duration of the request, preventing any cross-session data leakage.

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