How to Use the Elai AI Video MCP in OpenAI Agents SDK

Q: Can my OpenAI Agents SDK agent list all finished Elai AI Video projects?

Yes. Your agent can call listsuccessfullyrenderedvideos to fetch all completed assets. It uses this to move files to your storage layer.

Q: Does Elai AI Video support template selection in OpenAI Agents SDK?

It does. Use listvideotemplates to retrieve your account templates. Your agent then maps these to the createnewaivideo call.

Q: How are API credits handled for Elai AI Video by my OpenAI Agents SDK agent?

The agent calls getelaiaccountmetadata to check your current balance. It validates this data before triggering expensive render jobs.

Build video production pipelines in your OpenAI Agents SDK projects. Automate rendering and manage assets with this MCP Server.

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Connect Elai AI Video MCP to OpenAI Agents SDK

Create your Vinkius account to connect Elai AI Video 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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Setup Elai AI Video with OpenAI Agents SDK

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Automate video generation with OpenAI Agents SDK

Your agent handles video creation from start to finish. Use `create_new_ai_video` to draft your content and `trigger_video_rendering` to push it to the render queue. This keeps your production loop inside your agent's control flow. No manual dashboard clicks required.

Manage avatar and voice assets programmatically

Call `list_available_avatars` and `list_available_voices` to inspect your creative options. Your agent selects the right persona for your specific brand requirements before it builds the project. Everything remains consistent across your deployments. You get full visibility into available assets without leaving your code.

Monitor rendering status and account health

Check your progress with `get_video_details` to verify when a render finishes. Use `get_elai_account_metadata` to track your credit balance and prevent unexpected service interruptions. Your agent monitors the pulse of your production infrastructure in real-time. It handles the heavy lifting while you focus on content strategy.

Setup guide

Set up Elai AI Video 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

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

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 Elai AI Video tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Elai AI Video tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Elai AI Video 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="Elai AI Video Agent",
            instructions="You have access to Elai AI Video tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Elai AI Video. 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 Elai AI Video MCP in OpenAI Agents SDK

Install the necessary packages and pass the MCP server instance into your Agent constructor. The server handles the connection automatically.

Yes. Your agent can call `list_successfully_rendered_videos` to fetch all completed assets. It uses this to move files to your storage layer.

It does. Use `list_video_templates` to retrieve your account templates. Your agent then maps these to the `create_new_ai_video` call.

The agent calls `get_elai_account_metadata` to check your current balance. It validates this data before triggering expensive render jobs.

Your video scripts and metadata transit through a secure encrypted tunnel. We store no credentials, only passing your endpoint token to authorize requests.

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