How to Use the EmailListVerify MCP in Google ADK

Q: How do I set up EmailListVerify with Google ADK?

Run pip install google-adk. Initialize an McpToolset using StreamableHttpServerParameters with your Vinkius URL. Pass that toolset to your LlmAgent constructor.

Q: Can my Google ADK agent check EmailListVerify bulk jobs?

Yes. The agent uses listlatestverificationjobs to see recently uploaded files. It then queries the specific job IDs to track progress without human intervention.

Q: How do I restrict which tools the agent can see?

Google ADK allows you to pass a toolnames filter when setting up the toolset. You can expose just the credit checking tools and hide the single email verification if needed.

Bring the EmailListVerify MCP server into your Google ADK pipelines. Let your Gemini agents clean contact lists and track API credits.

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Connect EmailListVerify MCP to Google ADK

Create your Vinkius account to connect EmailListVerify 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 EmailListVerify with Google ADK

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Validate addresses across Google ADK

The `verify_single_email` tool connects your Gemini models straight to the EmailListVerify API. Your agent grabs a contact record from BigQuery, runs the address through the verification endpoint, and writes the deliverability status back to your database. Enterprise systems deal with massive context windows. You can feed a huge list of questionable contacts into the agent, and it will iterate through them using the available tools. It reads the raw API responses and flags the invalid targets before your marketing team hits send.

Track asynchronous jobs via MCP Server

The `get_verification_job_status` tool pulls the exact results summary for any specific bulk file you upload. Your agent doesn't have to guess if the process finished. It checks the queue using `list_in_progress_verification_jobs` and waits for the clear signal. Google ADK handles complex workflows. Once `list_successfully_processed_files` confirms the job is done, your agent can pull the clean data into Vertex AI for further modeling. The MCP protocol handles the connection, and your agent handles the logic.

Monitor account limits automatically

The `get_remaining_credits` tool returns the exact integer of verification credits left on your account. Your Gemini agent queries this endpoint before starting a massive list sweep, preventing mid-job failures due to empty balances. You also gain access to `quick_verification_health_audit`. The agent uses this tool to read high-level success rates and metadata. If the bounce rate spikes, the agent can trigger an alert in your Google Cloud console.

Setup guide

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

Run `pip install google-adk`. Initialize an `McpToolset` using `StreamableHttpServerParameters` with your Vinkius URL. Pass that toolset to your `LlmAgent` constructor.

Yes. The agent uses `list_latest_verification_jobs` to see recently uploaded files. It then queries the specific job IDs to track progress without human intervention.

The MCP server connects the verification tools to your agent. Your agent can pull records from BigQuery, run `verify_single_email`, and update the tables based on the results.

Google ADK allows you to pass a `tool_names` filter when setting up the toolset. You can expose just the credit checking tools and hide the single email verification if needed.

This server transmits email addresses and job metadata to the verification API. Vinkius runs the connection inside a zero-trust V8 Isolate sandbox. The memory wipes completely after the HTTP response, leaving zero trace of your contact data on our infrastructure.

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