How to Use the Maileon MCP in Google ADK

Q: How do I register this Maileon MCP Server in Google ADK?

Use McpToolset with StreamableHttpServerParameters pointing to your Vinkius endpoint. Pass this toolset directly into your LlmAgent tool list to make all nine endpoints available to Gemini.

Q: Can Google ADK filter which Maileon tools are active?

Yes, you can pass a toolnames list to your toolset configuration to restrict Gemini's access. This lets you expose read-only tools like getmailingstatistics while blocking destructive tools like deleteaccountcontact.

Q: Does Google ADK support Maileon's double opt-in?

Absolutely, calling createnewcontact triggers the platform's native double opt-in verification. Your Gemini agent simply initiates the contact creation, and the server handles the verification email.

Q: How do I list all active contacts in my account?

Your agent invokes listaccountcontacts with optional filtering parameters. The returned list contains contact details and metadata that your agent can process or store in your database.

Connect Gemini agents to Maileon with the Google ADK to trigger marketing workflows directly from BigQuery data.

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Connect Maileon MCP to Google ADK

Create your Vinkius account to connect Maileon 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 Maileon with Google ADK

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Import BigQuery data with Google ADK

The `create_new_contact` tool adds verified leads from your Google Cloud databases straight into your active marketing lists. Your Gemini agent queries your data warehouse, formats the rows, and registers them in one run. If a user opts out, the MCP Server uses `list_unsubscription_events` to pull the unsubscribed email addresses so your pipeline can flag them in BigQuery. This ensures your cloud database matches your marketing platform without manual exports.

Manage campaigns via Google ADK MCP Server

The `list_email_mailings` tool retrieves your current campaigns to let your agent inspect draft statuses and schedules. Gemini uses its long-context window to compare these drafts against your marketing calendar stored in Google Drive. After identifying the correct campaign, `dispatch_email_mailing` executes the send command instantly. The agent verifies the campaign state first, reducing the risk of sending empty templates.

Fetch performance metrics to Vertex AI

The `get_mailing_statistics` tool extracts raw engagement metrics, including opens and bounces, directly into your Python environment. This allows your enterprise agents to run predictive analysis on campaign performance. To get deeper context on specific sends, `get_mailing_details` retrieves configuration settings while `get_contact_by_email` checks individual subscriber records. Your models use this data to segment lists based on real behavior.

Setup guide

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

Use `McpToolset` with `StreamableHttpServerParameters` pointing to your Vinkius endpoint. Pass this toolset directly into your `LlmAgent` tool list to make all nine endpoints available to Gemini.

Yes, you can pass a `tool_names` list to your toolset configuration to restrict Gemini's access. This lets you expose read-only tools like `get_mailing_statistics` while blocking destructive tools like `delete_account_contact`.

Absolutely, calling `create_new_contact` triggers the platform's native double opt-in verification. Your Gemini agent simply initiates the contact creation, and the server handles the verification email.

Your agent invokes `list_account_contacts` with optional filtering parameters. The returned list contains contact details and metadata that your agent can process or store in your database.

Your email addresses and campaign metrics are processed inside secure, zero-trust V8 isolates running the MCP Server. Vinkius handles the API authentication, keeping your secret keys hidden from the LLM context and the agent logs.

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