How to Use the GenerateBanners MCP in AutoGen

Q: How do I configure GenerateBanners for AutoGen?

Install autogen-extmcp and use mcpservertools with the server URL. The adapter automatically converts the tools for your AssistantAgent.

Q: Can multiple AutoGen agents use GenerateBanners tools at once?

You bet. You can assign rendertemplate to a production agent and listprojects to an analytics agent. They will coordinate tool calls during their conversation.

Q: How do agents know which GenerateBanners template to pick?

They call searchtemplates and discuss the results. A design-focused agent will evaluate the metadata and argue for the best layout based on the campaign goals.

Let your AutoGen agents debate and execute banner generation campaigns automatically with this MCP Server.

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Connect GenerateBanners MCP to AutoGen

Create your Vinkius account to connect GenerateBanners 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 GenerateBanners with AutoGen

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Debate campaign structures in AutoGen

The `create_project` tool lets your execution agent spin up new workspaces after the planning agents agree on a campaign strategy. A copywriter agent drafts the text while a design agent reviews the available layouts. The `search_templates` tool kicks in if the design agent rejects a layout. These agents argue over the final pairing of text and visuals before committing to a render.

Audit design requirements automatically

The `get_template` tool spits out the exact text fields and image dimensions required for a specific layout. Your AutoGen quality assurance agent reads this schema to verify the copywriter agent provided the correct inputs. The `list_categories` tool helps the agents explore different formats if the current choice fails the audit. If the inputs are too long, the agents iterate on the text until it fits the template constraints.

Execute batch renders via MCP Server

The `render_batch` tool fires off the final production run once all agents reach a consensus. A manager agent tracks the output URLs and logs them for the human user to review. The `check_gb_status` and `get_account` tools run in the background via a dedicated infrastructure agent. If the API is offline, the agent alerts the group to pause the workflow instead of failing silently.

Setup guide

Set up GenerateBanners 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 GenerateBanners 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="GenerateBanners_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent GenerateBanners 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="GenerateBanners_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent GenerateBanners 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 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 AutoGen

Install `autogen-ext[mcp]` and use `mcp_server_tools` with the server URL. The adapter automatically converts the tools for your AssistantAgent.

You bet. You can assign `render_template` to a production agent and `list_projects` to an analytics agent. They will coordinate tool calls during their conversation.

They call `search_templates` and discuss the results. A design-focused agent will evaluate the metadata and argue for the best layout based on the campaign goals.

The tool returns a validation error. The AutoGen framework feeds that error back into the chat, prompting the agents to correct their formatting and try again.

The tool processes your customized text fields and image assets strictly for rendering. Vinkius handles auth via a single endpoint token, and the system retains zero persistent memory of your prompts after execution.

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