How to Use the Maropost MCP in Google ADK

Q: Can Gemini analyze Maropost workflows using Google ADK?

Yes, your agent uses listworkflows and getworkflowdetails to inspect complex marketing automation paths. Gemini's reasoning capabilities help it identify bottlenecks or broken branches in your active journeys.

Run Gemini agents on Google ADK to query Maropost reports and manage contact lists using long-context reasoning.

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Connect Maropost MCP to Google ADK

Create your Vinkius account to connect Maropost 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 Maropost with Google ADK

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Analyze Maropost reports with Google ADK

The `get_report_details` tool extracts deep performance data from your marketing campaigns. Because Google ADK runs on Gemini's million-token context window, your agent can ingest dozens of these reports simultaneously. The agent cross-references these reports with `list_reports` to find long-term trends. It maps this data against your BigQuery tables to identify which email segments drive the highest lifetime value.

Segment subscribers using this MCP Server

The `list_contacts_in_list` tool retrieves the specific subscribers enrolled in any of your active directories. Your Gemini agent processes these lists to find inactive users who haven't opened an email recently. Using `list_lists` and `get_list_details`, the agent organizes your database into clean target groups. It handles large-scale operations without hitting memory limits, thanks to Google Cloud's infrastructure.

Update Maropost profiles from BigQuery data

The `create_contact` tool updates subscriber profiles in Maropost based on external triggers. Your Google ADK agent monitors your cloud database and updates contact records when a customer makes a purchase. The agent checks existing profiles using `get_contact` before making changes. This ensures that custom fields and opt-in statuses remain accurate across both systems.

Setup guide

Set up Maropost 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 Maropost 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="Maropost_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Maropost 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 Maropost. 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 Maropost MCP in Google ADK

You initialize the toolset using the HTTP transport parameter pointing to your Vinkius endpoint. This exposes tools like `list_campaigns` and `create_contact` directly to your Gemini agent via the MCP Server.

Yes, your agent uses `list_workflows` and `get_workflow_details` to inspect complex marketing automation paths. Gemini's reasoning capabilities help it identify bottlenecks or broken branches in your active journeys.

The framework manages execution queues to prevent API throttling. When running tools like `list_contacts_in_list` across multiple large lists, the agent spaces out requests to stay within limits.

Yes, you can pass a list of allowed tool names to the toolset constructor. This limits the agent to `list_campaigns` and `get_campaign_details`, preventing accidental contact modifications on the MCP Server.

Your contact lists and workflow structures are processed entirely in memory within your Google Cloud boundary and the V8 sandbox. Zero-trust ephemeral architecture ensures that no subscriber emails or campaign details are written to persistent disk by the MCP Server.

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