How to Use the Creatomate MCP in OpenAI Agents SDK
Build production video generation workflows with OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Creatomate MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith 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
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Creatomate tools as native definitions — JSON schemas resolve automatically. - 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.
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
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
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
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