How to Use the IPQualityScore (IPQS) MCP in Google ADK

Run deep fraud analysis on BigQuery data using Google ADK and live IPQS threat intelligence.

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Connect IPQualityScore (IPQS) MCP to Google ADK

Create your Vinkius account to connect IPQualityScore (IPQS) 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 IPQualityScore (IPQS) with Google ADK

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`phone_lookup` analyzes a phone number for fraud and risk by identifying carrier details and line types. Your Gemini agents can run this check on user profiles stored in BigQuery to flag suspicious VOIP numbers. For complete verification, the agent uses `email_lookup` to analyze an email address for fraud and deliverability. This prevents your sales team from wasting time chasing fake leads and bad contact info.

Deploy Google ADK with an MCP Server

`ip_lookup` analyzes an IP address for fraud and proxy detection to uncover hidden VPNs and malicious hosting providers. Your enterprise agent can cross-reference incoming server logs with these real-time threat scores. When users submit support tickets, the MCP Server uses `url_lookup` to analyze the URL for malicious activity. This step ensures your support agents never open a phishing page or a malware-infected domain.

Monitor transaction risk and API health

`list_conversions` lists tracked conversions to help your marketing agents audit affiliate traffic and detect payout fraud. This tool exposes bad actors trying to game your referral systems. To keep the integration healthy, the MCP server exposes `get_account` to retrieve details about your IPQS account. Your agent can watch these settings to ensure your enterprise API keys remain active.

Setup guide

Set up IPQualityScore (IPQS) 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 IPQualityScore (IPQS) 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="IPQualityScore (IPQS)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to IPQualityScore (IPQS) 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 IPQualityScore. 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 IPQualityScore (IPQS) MCP in Google ADK

Install the SDK, then define the toolset using the streamable HTTP server parameters. Pass this toolset directly into your LlmAgent constructor. You can also filter the tool list to expose only the specific lookups your agent needs.

Yes, Gemini's large context window allows it to process hundreds of IP addresses or email records at once. The agent calls the lookup tools sequentially and synthesizes the risk scores into a structured report. This is ideal for cleaning up database tables.

Your agent can call the credit check tool to pull your active balance. You can write a simple prompt that instructs the agent to check this balance before running large batch jobs. This keeps your operational costs predictable.

The agent reads the score and applies your business logic to decide the next step. For example, it can write a flag to your database or tag the user profile for manual review. You control the risk thresholds entirely.

Yes, network data is sent over secure connections directly to the verification endpoint. The Vinkius runtime isolates each MCP request in an ephemeral container. This architecture ensures no persistent logs of your users' IP addresses or URLs are retained.

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