How to Use the NumVerify MCP in Google ADK

Q: How do I restrict which NumVerify tools are exposed to Google ADK?

Use the optional toolnames filter when instantiating your McpToolset. If you only want to check carrier info, expose getphonecarrier and hide the rest to keep your agent focused.

Clean your BigQuery tables by calling NumVerify directly from your Google ADK enterprise agents.

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Connect NumVerify MCP to Google ADK

Create your Vinkius account to connect NumVerify 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 NumVerify with Google ADK

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Validate telecom data within Google ADK

`validate_phone` checks formatting and active status for any phone number processed by your Google ADK pipeline. Your Gemini-powered agent runs this check before writing new customer records into BigQuery. This prevents malformed data from corrupting your enterprise analytics. You save hours of manual database cleanup by stopping bad inputs at the ingestion gate.

Identify mobile users via this MCP Server

This MCP Server uses `get_phone_line_type` to separate landlines from mobile devices. Your Google ADK agent parses the response to filter out numbers that cannot receive text messages. You stop wasting budget on SMS campaigns targeted at landlines. The agent automatically redirects landline users to voice-based verification or email instead.

Cross-reference geographic locations

`get_phone_location` retrieves the country and city associated with a phone number. Your Google ADK agent compares this metadata with Vertex AI user profiles to detect potential account takeovers. If a login attempt comes from an IP address that does not match the phone's registered location, the agent triggers extra authentication steps. This adds a physical layer of security to your enterprise workflows.

Setup guide

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

Use the optional `tool_names` filter when instantiating your `McpToolset`. If you only want to check carrier info, expose `get_phone_carrier` and hide the rest to keep your agent focused.

The server processes requests through an HTTP transport layer. When your Google ADK agent runs batch jobs over BigQuery datasets, the server handles concurrent queries within your API plan limits.

Yes. Your Google ADK agent can loop through a list of legacy contacts, calling `validate_phone` on each one, and update the database with the correct carrier and location data.

No. Vinkius manages the underlying API credentials for this MCP Server. Your Python code only needs to supply the single endpoint token when setting up the toolset.

Every phone number payload is encrypted in transit by the MCP Server and processed inside a zero-trust, ephemeral V8 isolate sandbox. The server never logs or caches the phone numbers you submit for verification.

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