How to Use the Bannerbear (Image Gen) MCP in OpenAI Agents SDK

Q: How do I install the Bannerbear (Image Gen) MCP Server in OpenAI Agents SDK?

Run pip install openai-agents in your environment. Then initialize MCPServerStreamableHttp with your Vinkius endpoint and pass it to the Agent constructor.

Q: How do I check template details?

The agent uses gettemplate to read the layer names and expected data types. This prevents validation errors before the generation step.

Generate marketing assets programmatically with Bannerbear and the OpenAI Agents SDK.

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Connect Bannerbear (Image Gen) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Bannerbear (Image Gen) 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 Bannerbear (Image Gen) with OpenAI Agents SDK

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Perplexity

Connect the Bannerbear MCP Server

You don't want your production agent hallucinating parameters. Hooking up this MCP Server gives your system direct access to your pre-defined design assets. Calling `list_templates` pulls available designs right into the agent's context. From there, it triggers `create_image` while OpenAI's guardrails force the payload to match the exact text and image requirements you set.

Batch asset generation

Marketing campaigns require dozens of ad variants across different aspect ratios. Handing this task to a specialized agent saves hours of manual export work. The `create_collection` tool lets your agent spin up multiple graphics in one shot. Built-in tracing through the OpenAI dashboard means you track exactly which prompt generated which image batch.

Dynamic video pipelines

Static images don't cut it for modern ad spend. Getting your agent to produce motion graphics requires strict parameter validation before execution. Using `create_video`, your system passes text overlays and background URLs into your existing Bannerbear video templates. Handoffs between a copywriter agent and a designer agent work perfectly here, letting one draft the text while the other handles the render request via `get_image` for final review.

Setup guide

Set up Bannerbear (Image Gen) 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 Bannerbear (Image Gen) tools at runtime.
3

Create your Agent

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

Run the agent

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

Run `pip install openai-agents` in your environment. Then initialize `MCPServerStreamableHttp` with your Vinkius endpoint and pass it to the Agent constructor.

Yes, the agent calls the collection endpoint. It submits an array of data objects to generate a full set of banner sizes at once.

Yes. You configure one agent to retrieve templates and another to execute the generation tools. They pass the resulting URLs back and forth.

The agent uses `get_template` to read the layer names and expected data types. This prevents validation errors before the generation step.

Vinkius routes your layer names, text payloads, and image URLs through an ephemeral V8 Isolate Sandbox. The zero-trust architecture destroys the memory state immediately after your agent receives the rendered asset URL.

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