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How to Use the Mailingwork MCP in Google ADK

Connect Google ADK agents to your mailing infrastructure to automate list management and transactional sends.

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Google ADK

Connect Mailingwork MCP to Google ADK

Create your Vinkius account to connect Mailingwork 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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Sync Mailingwork data with Google ADK

Pull your subscriber data directly into your Gemini-powered agent. By using `list_subscribers`, your agent gets the full picture of your audience without leaving the Google Cloud environment. This makes it easy to cross-reference mailing data with your existing BigQuery tables. Your agent can then act on these insights by calling `update_subscriber` to refine your targeting segments.

Trigger transactional emails from Google ADK

Initiate order confirmations or welcome sequences directly from your agent's logic. The `send_transactional_email` tool ensures your messages go out the moment your agent confirms a task is complete. It removes the need for custom glue code between your cloud infrastructure and your email provider. Everything stays within your agent's control, simplifying your deployment architecture.

Manage marketing assets via Google ADK

Use `list_mailings` and `list_lists` to keep your agent informed about current campaign structures. This allows your agent to suggest improvements or select the right list for a new message. These tools return structured data that Gemini can interpret easily. It allows your agent to handle complex tasks like cross-referencing campaign tags with your current subscriber list.

Setup guide

Set up Mailingwork 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Mailingwork 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="Mailingwork_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Mailingwork tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mailingwork. 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.

Why Choose Vinkius

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Mailingwork MCP in Google ADK

You can use the tool_names filter when configuring your McpToolset. This ensures your agent only has access to the specific operations you want it to perform.
Yes, you can feed the output of `list_subscribers` directly into the agent's context. This allows Gemini to reason over large segments of your audience in a single pass.
It supports both Stdio and HTTP transports. You can choose the one that best fits your local development or production cloud environment.
Your subscriber data is processed through an isolated V8 sandbox. We ensure that only authorized requests reach your Mailingwork account, keeping your PII secure at all times.
Absolutely, your agent can join data from BigQuery with the results from `get_subscriber`. This allows for highly personalized email triggers based on real-time database queries.

Start using the Mailingwork MCP today

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