How to Use the BannerBite MCP in AutoGen

Q: How do I register BannerBite tools in AutoGen?

Install autogen-extmcp. Use mcpservertools with StreamableHttpServerParams pointing to your endpoint, then pass that list of MCP tools directly to your AssistantAgent constructor.

Q: Which AutoGen agent should hold the BannerBite generation tools?

Give tools like generateimage and generatevideo to a specialized creator agent. Let your critic or planner agents review the proposed payloads before allowing the creator to execute.

Let your AutoGen agents debate design choices before generating media in BannerBite.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect BannerBite MCP to AutoGen

Create your Vinkius account to connect BannerBite 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.

GDPR Free for Subscribers

Setup BannerBite with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

AutoGen Multi-Agent Rendering

Complex marketing campaigns require oversight. You can assign this MCP Server to a dedicated design agent while a copywriter agent handles the text. They collaborate. The copywriter drafts the headline, and the designer calls `get_project` to see if that text actually fits the template constraints. If the text is too long for the scene, the designer pushes back. They negotiate the exact wording before anyone calls `generate_media`. You stop wasting API credits on broken renders because the agents resolve layout conflicts through conversation first.

Automated Quality Control Swarms

Generating a massive batch of localized videos is risky without checks. One agent triggers `generate_video` across fifty variations. A separate QA agent takes over, using `list_renders` to monitor the queue and identify any stalled jobs on the MCP Server. When a job finishes, the QA agent runs `get_render` to grab the final URL and verifies the metadata. If a specific render failed, the agents discuss the error payload and automatically retry the generation with adjusted parameters. It is a self-healing creative pipeline.

Dynamic Template Discovery

Your system does not need hardcoded template IDs. A strategy agent analyzes the campaign brief and asks the execution agent to find suitable visuals. The execution agent runs `list_projects` via the MCP integration and presents the options to the group. They debate the format. One argues for a static graphic via `generate_image` for faster loading, while another pushes for video. Once they reach consensus, they inspect the chosen template using `list_bites` and execute the final render.

Setup guide

Set up BannerBite 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 BannerBite 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="BannerBite_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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="BannerBite_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent BannerBite 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 BannerBite. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect BannerBite now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about BannerBite MCP in AutoGen

Install `autogen-ext[mcp]`. Use `mcp_server_tools` with `StreamableHttpServerParams` pointing to your endpoint, then pass that list of MCP tools directly to your `AssistantAgent` constructor.

Give tools like `generate_image` and `generate_video` to a specialized creator agent. Let your critic or planner agents review the proposed payloads before allowing the creator to execute.

Yes. The creator agent receives a job ID from the initial generation call. A monitoring agent takes that ID and polls `get_render` until the file is ready.

Require a human-in-the-loop approval step before any agent calls the generation endpoints. They can use `list_projects` freely, but rendering requires your explicit sign-off.

The text payloads, image assets, and project configurations sent to the API pass through an ephemeral V8 sandbox. Vinkius handles the routing securely, ensuring your raw marketing copy and final video links remain entirely private from the public web.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript