How to Use the No2Bounce MCP in Google ADK
Clean BigQuery email datasets using Gemini, Google ADK, and No2Bounce.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up No2Bounce MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 No2Bounce tools in your ADK agent.
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
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