What is the accuracy of MailerCheck verification?

MailerCheck uses advanced multi-layer checks including syntax, DNS, and SMTP handshake to provide highly accurate results categorized into valid, risky, and invalid.

Can I verify large lists of emails?

Yes, use the `create_verification_batch` tool to upload a JSON array of email addresses. You can then monitor the progress and retrieve results once completed.

How do I check my remaining credits?

Use the `get_account_info` tool to retrieve your profile details and the current balance of verification credits in your account.

MailerCheck MCP Server for Google ADK 5 tools — connect in under 2 minutes

Name: MailerCheck
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 5 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add MailerCheck as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="mailercheck_agent",
    instruction=(
        "You help users interact with MailerCheck "
        "using 5 available tools."
    ),
    tools=[mcp_tools],
)

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About MailerCheck MCP Server

Connect your MailerCheck account to any AI agent to automate your email hygiene and deliverability workflows. This MCP server enables your agent to verify single email addresses instantly, manage batch verification lists, and monitor your account credits directly from natural language interfaces.

Google ADK natively supports MailerCheck as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 5 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Real-time Verification — Instantly check if an email address is valid, risky, or invalid before sending
Batch Processing — Upload large lists of emails for asynchronous validation and track their progress
Results Ingestion — Retrieve detailed status reports for completed batches, including reason codes for invalid emails
History Oversight — List all recent verification batches and retrieve their technical metadata
Account Auditing — Monitor your authenticated user details and remaining verification credits

The MailerCheck MCP Server exposes 5 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect MailerCheck to Google ADK via MCP

Follow these steps to integrate the MailerCheck MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 5 tools from MailerCheck via MCP

Why Use Google ADK with the MailerCheck MCP Server

Google ADK provides unique advantages when paired with MailerCheck through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with MailerCheck

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine MailerCheck tools with BigQuery, Vertex AI, and Cloud Functions

MailerCheck + Google ADK Use Cases

Practical scenarios where Google ADK combined with the MailerCheck MCP Server delivers measurable value.

Enterprise data agents: ADK agents query MailerCheck and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine MailerCheck tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query MailerCheck regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including MailerCheck

MailerCheck MCP Tools for Google ADK (5)

These 5 tools become available when you connect MailerCheck to Google ADK via MCP:

create_verification_batch

Requires a name and a list of emails. Upload a list of emails for batch verification

get_account_info

Get account details and credit balance

get_batch_results

Retrieve the results for a specific batch

list_verification_batches

List all recent verification batches

verify_single_email

Requires an email string. Verify a single email address in real-time

Example Prompts for MailerCheck in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with MailerCheck immediately.

"Verify the email address 'user@example.com' in MailerCheck."

"List all my recent verification batches."

"Show valid emails for batch ID '123'."

Troubleshooting MailerCheck MCP Server with Google ADK

Common issues when connecting MailerCheck to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

MailerCheck + Google ADK FAQ

Common questions about integrating MailerCheck MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.