How to Use the Campaigner MCP in AutoGen

Q: How do I configure Campaigner MCP tools for AutoGen agents?

Install autogen-extmcp. Use mcpservertools with StreamableHttpServerParams pointing to Vinkius. Pass the resulting tool list directly into your AssistantAgent constructor.

Q: Can multiple AutoGen agents review a Campaigner email draft?

They can. One agent pulls the draft using getcampaign, another reviews the copy, and a third checks the target audience via listsegments. They negotiate changes before finalizing the task.

Build AutoGen agent teams that debate and execute Campaigner MCP Server operations autonomously.

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Connect Campaigner MCP to AutoGen

Create your Vinkius account to connect Campaigner 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 Campaigner with AutoGen

Ask AI about this MCP

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Perplexity

AutoGen teams debate campaign strategy

Single agents execute commands, but multi-agent systems negotiate outcomes. You can build a setup where a Data Agent pulls `get_campaign_stats` to analyze recent open rates. A separate Creative Agent reviews those numbers and proposes a new subject line based on the historical performance. They discuss the approach before anything gets sent. Because they connect through the Campaigner MCP Server, the agents have access to identical, real-time API data. The Data Agent can challenge the Creative Agent's proposal if it contradicts the metrics from `list_segments`.

Audit subscriber lists collaboratively

Managing large email databases requires careful validation. A Compliance Agent can run `list_subscribers` and `list_publications` to map out who is receiving which newsletters. If it spots a contact missing from a required legal segment, it flags the issue to an Operations Agent. The Operations Agent verifies the missing contact by calling `get_subscriber`. Once both agents agree on the discrepancy, one of them executes `create_subscriber` to update the list. This consensus-driven approach prevents rogue API calls and keeps your database clean.

Monitor workflow logic

Complex marketing automations break when audience rules conflict. You can assign an AutoGen team to actively monitor your setup. One agent calls `list_workflows` to map the triggers, while another pulls `get_account_info` to check sending limits. If they detect a potential bottleneck, they deliberate on the best fix. The system presents you with a finalized recommendation that has already survived internal scrutiny, rather than a single agent's immediate guess.

Setup guide

Set up Campaigner 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 Campaigner 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="Campaigner_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Install autogen-ext[mcp]. Use mcp_server_tools with StreamableHttpServerParams pointing to Vinkius. Pass the resulting tool list directly into your AssistantAgent constructor.

You decide during configuration. You can give the tool execution rights to a dedicated API agent, while the other conversational agents simply request data from it during their debate.

Yes. The McpToolAdapter handles the translation between the MCP protocol and AutoGen's internal function calling format. You do not write any custom parsing logic.

They can. One agent pulls the draft using get_campaign, another reviews the copy, and a third checks the target audience via list_segments. They negotiate changes before finalizing the task.

Your API credentials never touch your local environment. Vinkius handles the authentication. When agents debate over subscriber email addresses, the data flows through an ephemeral sandbox that destroys itself after the conversation ends.

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