How to Use the RenderMe MCP in OpenAI Agents SDK

Q: How do I connect RenderMe to my OpenAI Agents SDK project?

You instantiate an MCPServerStreamableHttp object and pass it to your agent constructor. The SDK automatically discovers all 12 tools once the connection is initialized.

Q: Will RenderMe slow down my OpenAI Agents SDK loop?

Not if you set cacheToolsList=True during initialization. This minimizes the overhead of tool discovery, keeping your agent's response times fast.

Trigger automated video rendering directly in your OpenAI Agents SDK production workflows.

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…and any MCP-compatible client

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Connect RenderMe MCP to OpenAI Agents SDK

Create your Vinkius account to connect RenderMe to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup RenderMe with OpenAI Agents SDK

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Automate video render jobs with OpenAI Agents SDK

Your agent handles the heavy lifting by triggering `create_video_render_job` based on your specific logic. It removes the manual overhead of moving assets through a dashboard. Everything stays within your agent's execution flow. Once a job starts, use `get_render_job_status` to monitor progress without switching contexts.

Manage media assets through RenderMe MCP Server

Keep your project assets organized by calling `list_uploaded_assets` and `list_asset_folders` directly from your code. Your agent pulls exactly what it needs to populate templates. This approach ensures that your agent always has the latest references. It references `list_video_templates` to ensure every render uses the correct deployment configuration.

Analyze performance with RenderMe and OpenAI Agents SDK

Track your usage and account health by invoking `get_account_render_stats`. It provides the data you need to manage your render budget during high-volume production runs. Your agent can also call `list_recent_render_jobs` to audit past activity. This keeps your oversight tight and your logs clean within the OpenAI dashboard.

Setup guide

Set up RenderMe 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 RenderMe tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Common questions about RenderMe MCP in OpenAI Agents SDK

You instantiate an `MCPServerStreamableHttp` object and pass it to your agent constructor. The SDK automatically discovers all 12 tools once the connection is initialized.

Yes. The SDK includes built-in guardrails that check your tool calls before execution. This ensures that every render request meets your predefined safety standards.

Vinkius handles authentication via a single endpoint token. Your agent interacts with the API through a secure, ephemeral sandbox environment that ignores unauthorized requests.

Not if you set `cacheToolsList=True` during initialization. This minimizes the overhead of tool discovery, keeping your agent's response times fast.

The server only interacts with your account's video metadata, render job logs, and asset references. No raw video files are stored on Vinkius infrastructure.

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