How to Use the Bannerbear (Image Gen) MCP in AutoGen

Q: Can a critic agent review images generated by Bannerbear (Image Gen) in AutoGen?

Yes. After the designer agent calls createimage, the critic agent can inspect the returned image URL and metadata to confirm it meets the campaign requirements before proceeding.

Q: How do agents coordinate batch jobs using Bannerbear (Image Gen) and AutoGen?

The coordinator agent can assign the task of calling createcollection to a production agent, which handles the batch generation and returns the asset list to the group.

Let your AutoGen agents debate, review, and generate marketing assets using Bannerbear templates.

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Connect Bannerbear (Image Gen) MCP to AutoGen

Create your Vinkius account to connect Bannerbear (Image Gen) to AutoGen 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 AutoGen

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Collaborative asset design and review

Build an editorial team where different AutoGen agents manage your visual content. A copywriter agent drafts the text, a designer agent uses `list_templates` and `get_template` to select the layout, and a critic agent reviews the final asset. This multi-agent setup ensures that no image gets generated without proper alignment. The designer agent calls `create_image` only after the critic agent approves the drafted copy and layout selection.

Multi-agent video generation campaigns

Your AutoGen agents can coordinate to produce complex video campaigns. One agent can fetch video structures, while another uses `create_video` to render clips based on negotiated script parameters. If the rendering fails or the video layout doesn't fit the script, the agents can discuss the issue. The designer agent can call `get_template` to inspect the video constraints and adjust the text length accordingly.

Automated collection management via MCP Server tools

When launching a campaign, your agents can coordinate to generate multiple graphics simultaneously. The lead agent instructs the production agent to trigger `create_collection`, bundling several template modifications into a single API request. Once the collection is generated, a QA agent calls `get_image` on the individual assets to verify they rendered correctly. If any asset looks off, the agents collaborate to regenerate the specific image with corrected parameters.

Setup guide

Set up Bannerbear (Image Gen) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Bannerbear (Image Gen) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Bannerbear (Image Gen)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Bannerbear (Image Gen) data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Bannerbear (Image Gen)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Bannerbear (Image Gen) data")
    print(result.messages[-1].content)

Get your connection token →

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 AutoGen

You register the server URL with AutoGen's MCP adapter. This exposes tools like `create_image` and `create_video` to your conversational agents, allowing them to invoke them during their dialogue.

Yes. After the designer agent calls `create_image`, the critic agent can inspect the returned image URL and metadata to confirm it meets the campaign requirements before proceeding.

The coordinator agent can assign the task of calling `create_collection` to a production agent, which handles the batch generation and returns the asset list to the group.

Yes, the AutoGen MCP extension automatically converts the server tool schemas into the format required by your AssistantAgents, ensuring arguments are passed correctly.

The MCP server operates in an ephemeral V8 sandbox, meaning your template structures and generated image URLs are processed on the fly and never stored on our servers.

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