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How to Use the MailWizz MCP in Google ADK

Give your Google ADK agents direct access to the MailWizz MCP Server to manage campaigns and sync subscriber lists alongside BigQuery.

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Google ADK

Connect MailWizz MCP to Google ADK

Create your Vinkius account to connect MailWizz 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 BigQuery to MailWizz

The `add_subscriber_to_list` tool takes leads scored by Vertex AI and pushes them into your mailing lists. Your Gemini agent pulls a million-token context window of customer behavior from BigQuery, decides who gets an email, and executes the addition. When a user churns in your database, the agent triggers `delete_list_subscriber` to scrub them from your marketing flows. You don't write custom ETL pipelines. The agent just does the work.

Deep campaign analysis

The `get_campaign_details` tool feeds raw MailWizz send metrics straight into Gemini's massive context window. The agent looks at bounce rates, open times, and link clicks across thousands of sends. It uses `list_email_campaigns` to compare historical performance. If a current batch is underperforming against last quarter's numbers, the agent can flag it or hit `pause_email_campaign` before you burn your domain reputation.

MailWizz MCP Server list management

The `list_subscriber_collections` tool pulls your entire list structure so your agent knows exactly where segments live. It reads the IDs and metadata to map out your audience. Then it runs `get_list_details` to verify sender settings before drafting new copy. You keep your enterprise agents grounded in actual MailWizz configuration data, preventing hallucinated list names.

Setup guide

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

Install the `google-adk` package. Initialize `McpToolset` with your MailWizz MCP Server URL and pass it to your `LlmAgent` tools array. It supports both Stdio and HTTP transports natively.
Yes. You can use the `tool_names` filter in the toolset configuration. If you only want the agent reading data, restrict it to `list_email_campaigns` and block the mutation tools.
Gemini's long context holds massive batches of user records, which it iterates through using the `update_list_subscriber` tool. It matches your BigQuery rows to the corresponding MailWizz subscribers.
Definitely. If your custom model predicts a high spam complaint rate for a specific segment, the agent fires `pause_email_campaign` immediately.
The campaign metrics and subscriber details are processed inside a zero-trust sandbox. The Vinkius MCP infrastructure handles the authentication token securely, ensuring your proprietary send data is never exposed to unauthorized endpoints.

Start using the MailWizz MCP today

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