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How to Use the Creatomate MCP in OpenAI Agents SDK

Build production video generation workflows with OpenAI Agents SDK.

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Works with every AI agent you already use

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OpenAI Agents SDK

Connect Creatomate MCP to OpenAI Agents SDK

Create your Vinkius account to connect Creatomate to OpenAI Agents SDK 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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Trigger video renders via OpenAI Agents SDK

The `render_video` tool injects dynamic data into pre-built templates and starts a render job. Pass text strings, image URLs, or audio clips straight from your agent's context window to replace placeholder layers. Built-in guardrails prevent accidental infinite loops. Handoffs work perfectly here: one agent writes the marketing script, then passes the structured data to a specialized video-rendering agent that calls the API.

Track render jobs automatically

Calling `get_render_status` returns the exact state of a processing video task. Your agent checks this endpoint continuously until the MP4 URL is ready for download. You never have to guess if a job failed or stalled. Tracing in the OpenAI dashboard shows exactly when the agent checked the MCP Server status and what payload it received in response.

Inspect templates before rendering

Running `get_template_details` exposes the internal structure of a Creatomate file. Your agent reads the exact field names it needs to populate before attempting to modify anything. This prevents bad API calls entirely. The agent knows beforehand that a specific template requires a 16:9 image asset because it read the schema first.

Setup guide

Set up Creatomate MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Creatomate tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Creatomate tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Creatomate tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Creatomate Agent",
            instructions="You have access to Creatomate tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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.

Why Choose Vinkius

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Real-time monitoring

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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 Creatomate MCP in OpenAI Agents SDK

Install the package with `pip install openai-agents`. Create an `MCPServerStreamableHttp` instance pointing to your Vinkius MCP Server URL and pass it in the `mcp_servers` list when initializing your Agent.
Yes. The `list_media_assets` tool returns your uploaded images, video clips, and audio files. Your agent reads this list to pick the right background asset for a new render.
You probably mapped the dynamic fields incorrectly. Tell your agent to run `get_template_details` first to confirm the exact layer names before it executes the render command.
The `list_video_templates` tool pulls the entire directory of available templates in your project. Pagination is handled automatically by the server logic.
Vinkius isolates your API token in an ephemeral V8 sandbox. Your template structures, MP4 URLs, and raw media assets stay within that zero-trust environment. The connection drops immediately after the request finishes.

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