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How to Use the Maileroo MCP in Google ADK

Trigger transactional emails and audit sending domains directly from your Google ADK enterprise pipelines.

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Google ADK

Connect Maileroo MCP to Google ADK

Create your Vinkius account to connect Maileroo 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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Domain Reputation Monitoring via Google ADK

`list_sending_domains` gives your Google ADK agent immediate visibility into your active sending domains. This MCP Server tool cross-references this list with your BigQuery datasets to monitor Maileroo deliverability trends. If a domain shows signs of issues, the agent calls `get_domain_details` to pull specific Maileroo DNS records. It analyzes the SPF and DKIM configurations using Gemini's long-context window to pinpoint setup errors in your Google Cloud environment.

Automated Enterprise Transactional Messaging

`send_transactional_email` executes critical system alerts and receipts directly from your Google ADK enterprise workflows. The agent uses Vertex AI data to personalize the Maileroo email body before dispatching. Because Gemini handles long contexts, the agent can ingest massive Google Cloud logs and summarize them into a clean Maileroo transactional update. The entire process runs on secure Google Cloud infrastructure to guarantee Maileroo delivery speed.

Direct Webhook Integration and Auditing

`list_configured_webhooks` gets all active event endpoints so your Google ADK agent can map out your Maileroo notification architecture. The MCP connection checks that your Google Cloud systems are listening for Maileroo bounce and delivery events. The agent compares this list against your Google Cloud Pub/Sub topics to ensure no Maileroo event gets dropped. This guarantees that your Google-managed customer success teams get notified the second a critical Maileroo email bounces.

Setup guide

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

The google-adk connects to the Maileroo MCP Server via a streamable HTTP transport. The agent then calls send_transactional_email asynchronously, letting you handle large volumes of transactional alerts without blocking your main thread.
Yes, you feed your raw enterprise data to Gemini, which formats it and passes the final payload to send_transactional_email. This lets you send highly personalized transactionals based on deep context.
You use the tool_names filter when initializing your McpToolset in Python. This lets you restrict the agent to only list_sending_activity while blocking access to sending tools.
The agent calls list_email_templates to see what layouts are available on your account. It then matches the user's current action to the correct template ID before triggering the send.
Your recipient addresses and email contents are processed in memory within a zero-trust, ephemeral V8 sandbox. No transactional data is written to disk or used for model training, ensuring complete isolation on Vinkius.

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