How to Use the MailerCheck MCP in Google ADK

Q: Can I filter which MailerCheck tools Google ADK sees?

You can. Just use the toolnames filter when setting up your toolset to expose only the ones you need for your specific agent.

Q: How does Google ADK interact with MailerCheck batch results?

The agent calls getbatchresults once the server signals the job is complete. It then parses the JSON response to update your backend records.

Use MailerCheck tools within your Google ADK environment for enterprise-grade email verification.

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Connect MailerCheck MCP to Google ADK

Create your Vinkius account to connect MailerCheck 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 MailerCheck with Google ADK

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Instant email verification for Google ADK

Hook `verify_single_email` into your agent logic to validate inputs instantly. It integrates with your existing Google Cloud workflows, ensuring your data pipelines remain accurate. This tool returns the validity status immediately. Your agent can then route the user to the next step or flag the input for review.

Manage batch jobs through Google ADK

Use `create_verification_batch` to handle massive lists of emails. Your agent submits the batch and continues interacting with other Google services like BigQuery. Once the job is done, `list_verification_batches` helps you track the history of your operations. It’s a clean way to manage large-scale data cleaning.

Check your credit balance from Google ADK

Keep tabs on your resource usage by calling `get_account_info`. This ensures your agent always knows if it has enough credits to complete the requested verification tasks. It provides a clear view of your current standing. This prevents unexpected interruptions during critical automation tasks.

Setup guide

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

You initialize the McpToolset with the server URL. Then, you pass that toolset into your LlmAgent constructor.

You can. Just use the tool_names filter when setting up your toolset to expose only the ones you need for your specific agent.

It is. The MCP server approach works well with the Google ecosystem, allowing your agents to act on email data alongside your cloud infrastructure.

The agent calls `get_batch_results` once the server signals the job is complete. It then parses the JSON response to update your backend records.

Your email lists are processed in our isolated sandbox. We don't store your data; we only process the email strings for the duration of the verification request.

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