How to Use the Listmonk MCP in Google ADK

Connect your Listmonk campaigns to Google ADK and drive email lists with BigQuery analytics.

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Connect Listmonk MCP to Google ADK

Create your Vinkius account to connect Listmonk 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 Listmonk with Google ADK

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BigQuery-Driven Segment Creation

This MCP Server uses `create_subscriber` to inject new high-value customers into your database. Feed your customer data warehouse directly into your email platform by letting your Gemini agent analyze millions of purchase rows in BigQuery and sync them. Because the Gemini model handles massive contexts, you can pass extensive subscriber lists and match them against existing segments using `list_subscribers` without running out of token space.

Automated List Syncing in Google ADK

This toolset exposes `list_lists` to help you keep your mailing lists in sync with your cloud CRM. The LlmAgent runs scheduled checks, comparing your database with your email setups and updating subscriber metadata using `update_subscriber`. Setting this up requires passing the Vinkius URL inside StreamableHttpServerParameters to your MCP toolset. The agent handles the API calls autonomously, keeping your marketing lists fresh.

Media and Asset Management

This toolset exposes `list_media` to let your enterprise agent manage campaign assets directly. When your enterprise agent generates new marketing assets, it can list current files and remove outdated graphics using `delete_media`. This lets you automate your newsletter asset pipeline within Google Cloud, using the MCP protocol to secure the connection and ensuring your campaigns always pull the latest approved visual assets.

Setup guide

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

Install the google-adk package and set up an McpToolset with your Vinkius HTTP endpoint. Pass this toolset into your LlmAgent constructor to give Gemini access to your subscriber database.

Yes, you can use the optional tool names filter in the ADK toolset configuration. This lets you restrict Gemini to read-only tools like list_subscribers while blocking destructive tools like delete_list.

Gemini can process thousands of subscriber records returned by list_subscribers in a single prompt. This allows the model to spot complex patterns and clean up list hygiene in one pass.

If an import goes wrong, your agent can check the status using get_import_status. If it spots errors, it can immediately execute stop_import to prevent bad data from corrupting your subscriber table.

No, all subscriber email addresses and transaction metadata are routed directly through your private Vinkius tunnel. Your PII never touches public networks, ensuring compliance with enterprise data policies.

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