How to Use the ActiveTrail MCP in Google ADK

Run high-context ActiveTrail marketing campaigns using Gemini and the Google ADK.

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Connect ActiveTrail MCP to Google ADK

Create your Vinkius account to connect ActiveTrail 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 ActiveTrail with Google ADK

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Build massive audience segments in Google ADK

The `list_groups` tool allows your Gemini-powered agent to inspect your existing ActiveTrail subscriber segments. Because the Google ADK handles massive context windows, your agent can pull all your segments and compare them against warehouse data in BigQuery. This lets you build complex, hyper-targeted campaigns. The agent cross-references user behavior data from Google Cloud with your ActiveTrail lists to find the exact cohort you need to target.

Automated contact importing from BigQuery

The `create_contact` tool lets your agent write new subscribers directly to your ActiveTrail lists. You can configure a Google ADK agent to monitor a BigQuery table and automatically add new leads as they sign up. The MCP Server runs this background loop natively on Google Cloud. It reads the database, validates the schema, and calls the server to update your marketing lists without requiring manual CSV exports.

Context-rich SMS marketing with Gemini

The `send_sms` tool gives your agent the ability to send text messages through ActiveTrail's infrastructure. By registering this MCP Server, your agent can feed your entire campaign history into Gemini's long-context window to write highly personalized SMS copy that matches the user's past interactions. The ADK manages the tool execution state. When the agent decides to trigger a message, it uses this tool to execute the send request immediately, ensuring your customers get timely updates.

Setup guide

Set up ActiveTrail 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 ActiveTrail 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="ActiveTrail_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ActiveTrail tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ActiveTrail. 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 ActiveTrail MCP in Google ADK

Install the SDK and initialize the McpToolset using your Vinkius HTTP endpoint. Pass the toolset directly to your LlmAgent instance to make the tools available to Gemini.

Yes, you can use the optional tool name filter in the McpToolset configuration. This lets you expose only list_contacts while hiding write operations like send_sms.

Gemini's massive context window easily digests the output of list_contacts. The agent can read thousands of subscriber records at once to perform complex demographic analysis without running out of memory.

Absolutely, you can combine this toolset with your Google Cloud database tools. Your agent can query BigQuery for inactive users and immediately use create_contact to segment them in ActiveTrail.

Yes, your credentials are encrypted at rest and handled entirely by the Vinkius gateway. The Google ADK client only sees the safe, sandboxed tools, ensuring your customer phone numbers and emails are never exposed to public networks.

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