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How to Use the Listclean MCP in Google ADK

Clean your BigQuery lead tables using Listclean tools directly inside your Google ADK agent pipelines.

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Google ADK

Connect Listclean MCP to Google ADK

Create your Vinkius account to connect Listclean 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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Verify BigQuery contacts using Google ADK

The `verify_single_email` tool validates individual email addresses on the fly as your agent processes records. Your Google ADK agent pulls raw lead data from BigQuery, runs the verification check, and updates the database with the validation status. This ensures your marketing teams only contact active mailboxes. By integrating this MCP tool directly into your Gemini-powered pipelines, you prevent bad data from polluting your central data warehouse.

Bulk clean enterprise databases via this MCP Server

The `verify_batch_emails` tool handles up to 3,000 email verifications in a single call to process massive lead databases. Your Google ADK pipeline can slice large BigQuery tables into optimized chunks and feed them directly to this tool. This batching mechanism keeps your network overhead low while cleaning enterprise-scale lists. Your agent can run these batch checks during scheduled off-peak hours to maintain database hygiene.

Audit verification history inside Google ADK

The `get_verification_logs` tool retrieves the history of your single email verification attempts for compliance tracking. Your Google ADK agent queries these logs to build reporting dashboards or verify that past checks were completed. This gives your operations team a clear audit trail of API activity. You can feed these logs directly back into Google Cloud logging to monitor your verification success rates over time.

Setup guide

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

Use the `McpToolset` class with `StreamableHttpServerParameters` pointing to your Vinkius endpoint. Pass this toolset into your `LlmAgent` configuration to expose tools like `verify_single_email` to your Gemini models.
Yes, you can use the `tool_names` filter in the `McpToolset` configuration to restrict access. For instance, you can expose only `verify_single_email` and block access to account-level tools like `get_account_profile`.
For large datasets, configure your agent to pull records from BigQuery and pass them in chunks of 3,000 to the `verify_batch_emails` tool. This matches the recommended batch limit and prevents timeout issues during long-context runs.
Have your Gemini agent call the `check_account_credits` tool. The model can read the integer balance returned and decide whether to proceed with bulk cleaning operations.
The MCP Server processes all email inputs and verification logs in memory within secure, ephemeral V8 isolates. Vinkius does not write your customer data to persistent storage, ensuring zero-trust handling of sensitive contact info.

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