How to Use the Listrak MCP in AutoGen

Enable multi-agent debate in AutoGen by giving your team access to Listrak marketing tools.

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Connect Listrak MCP to AutoGen

Create your Vinkius account to connect Listrak 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 Listrak with AutoGen

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Claude

Perplexity

Debate Listrak Campaign Strategy

Assign agents to evaluate `list_email_campaigns` and argue for or against specific send times. One agent analyzes performance while another challenges the data. This creates a consensus-driven approach to your marketing. You avoid impulsive actions by forcing the agents to verify their reasoning.

Execute Listrak SMS Broadcasts

Have your agents negotiate the content for `send_sms_broadcast` before execution. One agent drafts, another audits for compliance, and a third triggers the tool. This multi-step validation ensures your messages align with brand standards. You move from individual prompts to a team-based workflow.

Validate Listrak Contact Updates

Use `create_sms_contact` with a multi-agent safety check. A security agent validates the input data before the executor agent calls the API. This keeps your contact lists accurate. You are building a system where every change is scrutinized by competing perspectives.

Setup guide

Set up Listrak 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 Listrak 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="Listrak_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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Common questions about Listrak MCP in AutoGen

Yes, you configure the agents to use the MCP tools for Listrak. They can call the API endpoints as part of their collaborative discussions.

Agents share the context of their conversation. If one agent calls `get_email_contact_details`, the result becomes available to the rest of the team.

The server uses a zero-trust architecture provided by Vinkius. Each agent request is authenticated individually, keeping your Listrak data isolated.

They debate the error message. If the API fails, the agents discuss why and decide whether to retry or escalate the issue to you.

You can expose all seven tools. We recommend starting with contact management and campaign listing to see how your agents handle the data.

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

Mastra AI sdk-typescript

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