How to Use the Listrak MCP in Google ADK

Q: Can I filter which Listrak tools are visible to my Google ADK agent?

You can. Use the toolnames filter in your McpToolset configuration to restrict access to only the tools your specific agent requires.

Bring Listrak data into your Google ADK agent. Build enterprise-scale marketing workflows with Gemini and BigQuery.

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Connect Listrak MCP to Google ADK

Create your Vinkius account to connect Listrak to Google ADK 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 Google ADK

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Sync Listrak contacts with Google ADK

Your agent can now list and filter your user base using `list_sms_contacts`. This is built for agents that need to cross-reference marketing lists with internal Google Cloud datasets. Use `get_email_contact_details` to feed specific customer profiles into Gemini's context window. This allows your agent to reason over customer history before it decides which message to send.

Direct messaging from Google ADK

Your agent can invoke `send_transactional_email` or `send_sms_broadcast` based on complex logic processed in Vertex AI. It doesn't just read data; it acts on it. This integration is native to the Google ADK toolset. Your agent treats these marketing actions as standard functions within its broader workflow orchestration.

Manage subscription states with Google ADK

Update your SMS lists programmatically using `subscribe_to_sms_list`. This ensures your agent respects user preferences in real-time. Your agent handles the entire lifecycle of a contact. From the initial `create_sms_contact` call to final list management, everything happens within your controlled Google Cloud environment.

Setup guide

Set up Listrak MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Listrak tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Listrak_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Listrak tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Listrak MCP in Google ADK

The McpToolset connects directly to the server endpoint. It registers the seven available tools so your agent can call them as native functions.

You can. Use the tool_names filter in your McpToolset configuration to restrict access to only the tools your specific agent requires.

Gemini models have massive context windows. You can pull lists via `list_sms_contacts` and allow the model to process the data directly in memory.

It supports both Stdio and HTTP. You choose the transport that matches your Google Cloud infrastructure requirements.

Data is transmitted over encrypted channels only when your agent invokes a tool. The server acts as a transient bridge, never storing your customer records permanently.

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