How to Use the AiMasher MCP in AutoGen

Q: How do I configure AiMasher for AutoGen?

Install autogen-extmcp. Use mcpservertools with StreamableHttpServerParams pointing to your Vinkius URL, then hand that list to your AssistantAgent.

Q: How does AutoGen know when an AiMasher campaign finishes?

The executor agent will poll getcampaign or listoutputs. It reads the status and reports back to the group chat when the assets are ready.

Q: Will AutoGen automatically fix AiMasher API errors?

If a call to generatecontent fails due to a bad prompt, the error goes straight into the chat. The agents will see the failure, discuss what went wrong, and try a different approach.

Build debating marketing teams that write, critique, and refine AiMasher content using AutoGen.

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Create your Vinkius account to connect AiMasher 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 AiMasher with AutoGen

Ask AI about this MCP

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Claude

Perplexity

Debate AiMasher templates in AutoGen

Marketing requires pushback. You never publish the first draft. With Microsoft's multi-agent framework, you can pit a creative agent against an SEO specialist to argue over the best approach. The creative agent calls `list_templates` to find a starting point. The SEO agent reviews the choice, demands changes, and they negotiate until reaching a consensus on which format to use.

Execute campaigns via this MCP Server

Talk is cheap unless the agents can actually generate the assets. Once your virtual team agrees on a strategy, they need a way to make it real. That is where standard tool calling comes in. The designated execution agent triggers `create_campaign` followed by `generate_content` via this MCP Server. The resulting text gets fed back into the chat for a final round of critiques from the rest of the swarm.

Monitor account limits autonomously

Running multiple models in a unified workspace eats through credits. You cannot afford to have a runaway agent burning your budget on endless revisions. A dedicated supervisor agent can periodically ping `get_account` and `check_aimasher_status`. If the limits get too tight, it forces the team to wrap up their current `list_results` review and stop generating.

Setup guide

Set up AiMasher 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 AiMasher 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="AiMasher_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent AiMasher 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 AiMasher. 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 AiMasher MCP in AutoGen

Install `autogen-ext[mcp]`. Use `mcp_server_tools` with `StreamableHttpServerParams` pointing to your Vinkius URL, then hand that list to your `AssistantAgent`.

You can assign the tool list to specific agents in your group chat. Usually, you want one executor agent handling the actual API calls while others just talk.

The executor agent will poll `get_campaign` or `list_outputs`. It reads the status and reports back to the group chat when the assets are ready.

If a call to `generate_content` fails due to a bad prompt, the error goes straight into the chat. The agents will see the failure, discuss what went wrong, and try a different approach.

Vinkius isolates every single connection. The marketing copy and account details passing between your swarm and the server live inside a temporary, zero-trust sandbox that dies when you disconnect.

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