How to Use the Aimtell MCP in AutoGen

Q: How do AutoGen agents coordinate Aimtell push campaigns?

One agent calls listcampaigns to find active templates, while another drafts the new message copy. They negotiate the final payload before executing the dispatch.

Q: Can I use AutoGen to update Aimtell subscriber attributes?

Yes. An agent can call addsubscriberattribute to tag a user based on the outcome of a multi-agent debate or customer interaction log.

Q: Can agents check automated campaigns?

Yes. Your agents can call listtriggeredcampaigns to audit automated push triggers and suggest updates to the workflow logic.

Run multi-agent debates in AutoGen to draft, target, and dispatch Aimtell push notifications.

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Connect Aimtell MCP to AutoGen

Create your Vinkius account to connect Aimtell 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 Aimtell with AutoGen

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Multi-agent consensus on Aimtell push alerts

Your copywriter agent drafts a push alert, while a security agent uses this MCP Server to call `send_one_off_notification` to test the payload against compliance rules. The agents debate the tone and timing before finalizing the dispatch. This collaborative loop prevents bad copy from reaching users. The system only triggers the notification once both agents agree the payload meets your brand guidelines.

Collaborative segment analysis using AutoGen

This MCP Server enables your data agent to run `list_segments` to analyze target audiences. Meanwhile, your marketing agent reviews the segment list to match them with active campaigns. They debate which subscriber group is most likely to convert based on historical data. Once they reach consensus, they update subscriber profiles via `add_subscriber_attribute`.

Automated campaign performance reviews

The performance agent calls the MCP Server tool `get_campaign_performance` to pull the latest click rates. It presents these metrics to the strategy agent, who compares them against baseline goals. If performance falls below a threshold, the agents collaborate to draft a new campaign using `list_api_campaigns` as a reference. You get automated optimization through structured agent debate.

Setup guide

Set up Aimtell 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 Aimtell 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="Aimtell_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

One agent calls `list_campaigns` to find active templates, while another drafts the new message copy. They negotiate the final payload before executing the dispatch.

Yes. An agent can call `add_subscriber_attribute` to tag a user based on the outcome of a multi-agent debate or customer interaction log.

You load the tools using the AutoGen MCP adapter and pass them to your AssistantAgent. This lets your conversational agents call push notification tools during their debates.

Yes. Your agents can call `list_triggered_campaigns` to audit automated push triggers and suggest updates to the workflow logic.

Vinkius isolates the execution environment inside ephemeral V8 sandboxes. Your API keys and subscriber attributes are encrypted in transit and never exposed to the LLM or stored in AutoGen logs.

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