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How to Use the No2Bounce MCP in Google ADK

Clean BigQuery email datasets using Gemini, Google ADK, and No2Bounce.

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Google ADK

Connect No2Bounce MCP to Google ADK

Create your Vinkius account to connect No2Bounce 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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Process enterprise lists with Gemini

The `validate_bulk` tool feeds your dirty email lists directly into the No2Bounce engine and hands back a job identifier. When you wire this up through the Google ADK, Gemini can read massive datasets from BigQuery and push them straight into the validation queue. Gemini has a massive context window. Your agent can analyze a million rows of customer data, extract the emails, and format them for the MCP Server in one pass. It handles the heavy lifting before the validation even starts.

Monitor job completion natively

Your agent uses the `get_validation_status` tool to read the progress of your batch jobs. It takes the tracking ID and fetches the current state, letting the agent know when the cleaned list is ready. Since Google ADK integrates deeply with Vertex AI, you can build a pipeline that pauses execution, checks the status, and then automatically writes the clean emails back into your BigQuery tables.

Built for massive data pipelines

Running the `validate_bulk` tool via an MCP Server on Google Cloud keeps your data processing close to your storage. The agent handles the tool calls natively through the McpToolset class. You don't write custom HTTP clients. You pass the server URL to StreamableHttpServerParameters, and your Gemini agent instantly gains the ability to scrub bounce risks from your marketing campaigns.

Setup guide

Set up No2Bounce 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 No2Bounce 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="No2Bounce_agent",
    model="gemini-2.0-flash",
    instruction="You have access to No2Bounce 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 No2Bounce. 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 No2Bounce MCP in Google ADK

Install google-adk and wrap the Vinkius URL in StreamableHttpServerParameters. Pass that into an McpToolset and hand it to your LlmAgent.
Yes. The Google ADK allows you to use the tool_names filter. You can expose the bulk submission tool to one agent and restrict the status tool to a different monitoring agent.
It works perfectly. Your Gemini agent reads the records from BigQuery, extracts the emails, and passes them to the MCP Server for cleaning.
Gemini understands that the first tool returns an ID. It holds that ID in its context window and uses it to query the status endpoint when you ask for an update.
The Vinkius zero-trust architecture guarantees your customer email addresses remain isolated. The MCP Server runs in an ephemeral sandbox, verifying the addresses against mail servers and destroying the data immediately after the check.

Start using the No2Bounce MCP today

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