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How to Use the Listrak MCP in OpenAI Agents SDK

Connect your OpenAI Agents SDK to Listrak. Manage SMS and email workflows with production-grade validation and full tool tracing.

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Works with every AI agent you already use

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OpenAI Agents SDK

Connect Listrak MCP to OpenAI Agents SDK

Create your Vinkius account to connect Listrak to OpenAI Agents SDK 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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Automate SMS and email contact management

Your agent can manage your database without manual intervention. Use `create_sms_contact` and `subscribe_to_sms_list` to handle opt-ins directly from conversational prompts. This MCP Server lets your agent pull granular data using `get_email_contact_details`. It keeps your contact lists clean and your agent informed of current subscription statuses.

Execute messaging campaigns via OpenAI Agents SDK

Trigger `send_sms_broadcast` or `send_transactional_email` the moment your agent identifies an opportunity. This removes the latency of human-in-the-loop approvals for standard notifications. Your agent logs every action via the OpenAI dashboard. You get a clear audit trail of exactly when each `messageId` was triggered and who received it.

Real-time campaign oversight

Fetch active marketing performance data by running `list_email_campaigns` through your agent. It identifies underperforming segments by comparing current campaign data against your historical benchmarks. This MCP Server provides the raw data your agent needs to pivot strategies mid-flight. You aren't just sending messages; you're building a feedback loop between your customer data and your output.

Setup guide

Set up Listrak MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Listrak tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Listrak tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Listrak tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Listrak Agent",
            instructions="You have access to Listrak tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Listrak MCP in OpenAI Agents SDK

Store your API tokens in environment variables. Do not hardcode them in your agent scripts. Your agent accesses these via the connection string provided to the MCPServerStreamableHttp constructor.
Yes, but you should implement retry logic in your agent code. The server exposes the tools, but your agent manages the execution flow to respect API tier constraints.
It does. Because you're using the OpenAI Agents SDK, every tool call is traced automatically. You'll see the exact inputs and outputs for every email or SMS sent.
Not if you use the built-in guardrails. The SDK validates the tool schema before the request ever reaches the Listrak API endpoints.
Your customer data, including email addresses and phone numbers, stays within your authenticated session. The server only processes the specific records you explicitly request.

Start using the Listrak MCP today

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Built & Managed by Vinkius 30s setup 7 tools

We've already built the connector for Listrak. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 7 tools are live and waiting. You're up and running in seconds.

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