How to Use the Listrak MCP in CrewAI

Q: Can CrewAI agents send SMS broadcasts through Listrak?

Yes, an agent assigned to promotion tasks can execute sendsmsbroadcast to push updates. The CrewAI framework allows the agent to decide the optimal time to send the broadcast based on shared memory.

Q: How do CrewAI agents share Listrak contact data?

Agents share information retrieved by getemailcontactdetails through CrewAI's short-term memory system. This allows one agent to fetch the profile and another agent to write a personalized message based on that data.

Q: Can I limit which Listrak tools a CrewAI agent can use?

Yes, you can use MCPServerHTTP with a toolfilter to expose only specific MCP tools like createsmscontact to certain agents. This prevents a research agent from accidentally triggering an SMS broadcast.

Q: How does CrewAI handle sensitive Listrak subscriber emails and phone numbers?

Subscriber emails and phone numbers fetched by getemailcontactdetails or written by createsmscontact are processed in ephemeral Vinkius sandboxes. No customer contact details are stored in the CrewAI execution logs or shared memory files.

Deploy specialized CrewAI agent teams to coordinate Listrak email campaigns and manage SMS subscriber lists autonomously.

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Connect Listrak MCP to CrewAI

Create your Vinkius account to connect Listrak to CrewAI 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 CrewAI

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Coordinate Listrak marketing campaigns with CrewAI

The `list_email_campaigns` tool allows your CrewAI research agent to analyze active Listrak marketing performance. The agent fetches the campaign history from Listrak, while a separate CrewAI analyst agent evaluates the engagement data. This collaborative CrewAI workflow execution happens without manual Listrak exports. Your CrewAI team uses the campaign data to draft new content and suggest Listrak optimizations.

Automate SMS list management via multi-agent crews

The `subscribe_to_sms_list` tool is executed by your CrewAI operations agent to maintain clean Listrak databases. When a new lead is detected, the CrewAI agent coordinates with a compliance agent to verify opt-in status before updating Listrak. If the opt-in is valid, the CrewAI agent calls `create_sms_contact` to finalize the Listrak registration. The entire process is logged across the CrewAI shared memory, ensuring consistent Listrak contact records.

Manage transactional alerts through an MCP Server crew

The `send_transactional_email` tool can be triggered by a specialized CrewAI customer-service agent within your crew to dispatch Listrak messages. When an order issue occurs, the CrewAI agent retrieves the customer's details and dispatches a personalized notification via Listrak. By delegating this to an MCP Server tool, your CrewAI agents resolve Listrak communication gaps autonomously. The CrewAI team monitors the delivery status and escalates the ticket if the Listrak transactional email fails.

Setup guide

Set up Listrak MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Listrak tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Listrak Analyst",
    goal="Access and analyze Listrak data via MCP.",
    backstory="Expert analyst with direct Listrak access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Listrak transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Listrak Analyst",
        goal="Access and analyze Listrak data via MCP.",
        backstory="Expert analyst with direct Listrak access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Listrak transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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.

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Common questions about Listrak MCP in CrewAI

Pass your Vinkius server URL directly into the mcps list of your CrewAI agent definition. The agent instantly gains access to tools like list_sms_contacts without complex Python boilerplate.

Yes, an agent assigned to promotion tasks can execute send_sms_broadcast to push updates. The CrewAI framework allows the agent to decide the optimal time to send the broadcast based on shared memory.

Agents share information retrieved by get_email_contact_details through CrewAI's short-term memory system. This allows one agent to fetch the profile and another agent to write a personalized message based on that data.

Yes, you can use MCPServerHTTP with a tool_filter to expose only specific MCP tools like create_sms_contact to certain agents. This prevents a research agent from accidentally triggering an SMS broadcast.

Subscriber emails and phone numbers fetched by get_email_contact_details or written by create_sms_contact are processed in ephemeral Vinkius sandboxes. No customer contact details are stored in the CrewAI execution logs or shared memory files.

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