How to Use the GenerateBanners MCP in OpenAI Agents SDK

Q: Is GenerateBanners performance consistent for OpenAI Agents SDK?

Yes, provided you enable cacheToolsList=True in your configuration. This avoids unnecessary discovery overhead during agent initialization.

Automate your ad creative pipeline directly inside your OpenAI Agents SDK production environment.

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Connect GenerateBanners MCP to OpenAI Agents SDK

Create your Vinkius account to connect GenerateBanners 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 GenerateBanners with OpenAI Agents SDK

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Automated Banner Rendering

Trigger `render_template` calls directly from your agent logic to generate ad assets on the fly. Your agent handles the payload and receives the image URL without leaving your Python runtime. This keeps your production pipeline tight and predictable. By using `render_batch` for larger campaigns, you push high-volume requests through without blocking your main execution thread.

Project and Template Management

Use `list_projects` and `get_project` to keep track of your active campaigns within the agent's memory. This MCP Server gives your agent the context it needs to organize assets by specific project IDs. When your agent needs a specific look, `search_templates` and `get_template` pull the exact schema required. Your agent validates these details before it ever hits the render engine.

Live Connectivity and Account Metrics

Your agent monitors the health of the connection using `check_gb_status` to ensure render requests don't fail silently. It’s a simple check that prevents your agent from attempting tasks when the service is unreachable. `get_account` provides the necessary visibility into your current limits. Your agent uses this data to decide if it has enough quota to proceed with a batch rendering job.

Setup guide

Set up GenerateBanners 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 GenerateBanners tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate GenerateBanners 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="GenerateBanners Agent",
            instructions="You have access to GenerateBanners 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 GenerateBanners. 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 GenerateBanners MCP in OpenAI Agents SDK

The server maintains state through project-based identifiers. Your agent uses `create_project` to initialize a workspace and references that ID in subsequent render calls.

Yes. You can use Pydantic models to wrap the tool arguments before your agent invokes them. This ensures the data sent to `render_template` matches your expected format.

Yes, provided you enable `cacheToolsList=True` in your configuration. This avoids unnecessary discovery overhead during agent initialization.

The server returns a standard error response. Your agent should catch this and retry or log the failure based on your custom error handling logic.

The server only processes the specific parameters required for image generation. No PII is stored long-term; it only touches the render engine to create your requested assets.

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