How to Use the SEON MCP in Google ADK

Q: How does SEON improve compliance processes using Google ADK?

SEON provides amlscreening and tools like listamlmonitors. Your agent can automatically trigger these checks whenever a new user or transaction is processed. This keeps your enterprise risk profile current and auditable.

Q: Can SEON help us detect fraud using the Google ADK?

Yes. You use checkfraud to get a real-time risk assessment based on device and behavior. The agent can then decide whether to block the transaction or flag it for manual review, all within your Google Cloud environment.

Q: If we need to audit our blacklists using SEON and Google ADK, what tools should we use?

You’ll want to use listlists combined with addtolist. This allows your agent to query existing lists and then systematically update them with newly identified bad actors or suspicious IPs.

Q: What data types does the SEON MCP Server touch regarding privacy?

It interacts with digital identifiers like IP addresses (checkip), phone numbers (checkphone), and account details. The server provides analysis on these vectors without storing highly sensitive personal documents.

Build enterprise fraud intelligence workflows with Google ADK and SEON MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect SEON MCP to Google ADK

Create your Vinkius account to connect SEON 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.

GDPR Free for Subscribers

Setup SEON with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Analyze large sets of transaction data.

Need to review thousands of records? Your agent can call `get_transaction` to pull bulk details for historical analysis. You'll get a complete history that goes far beyond simple point-in-time checks. Running this alongside `list_rules` allows your Google ADK workflow to compare actual past events against established fraud parameters.

Screen entire customer bases for risk.

Before onboarding a new client, run an `aml_screening`. This is better than running checks one by one. It gives you a holistic compliance view of the person or entity. For deeper investigation, use `check_fraud` repeatedly on batches of accounts to map out potential ring activity.

Maintain accurate risk scoring parameters.

The server lets you manage your security logic through tools like `list_rules`. You can see exactly what criteria trigger a high-risk score. This transparency is key for enterprise governance. When the rules change, updating them via the MCP Server ensures all downstream agents use the most current scoring mechanism.

Setup guide

Set up SEON 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 SEON 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="SEON_agent",
    model="gemini-2.0-flash",
    instruction="You have access to SEON tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by SEON. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect SEON now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about SEON MCP in Google ADK

SEON provides `aml_screening` and tools like `list_aml_monitors`. Your agent can automatically trigger these checks whenever a new user or transaction is processed. This keeps your enterprise risk profile current and auditable.

The server handles identifiers—IPs, emails, phone numbers—as well as complex transaction objects. Since your agent interacts with BigQuery, it can map these structured results directly into existing datasets.

Yes. You use `check_fraud` to get a real-time risk assessment based on device and behavior. The agent can then decide whether to block the transaction or flag it for manual review, all within your Google Cloud environment.

You’ll want to use `list_lists` combined with `add_to_list`. This allows your agent to query existing lists and then systematically update them with newly identified bad actors or suspicious IPs.

It interacts with digital identifiers like IP addresses (`check_ip`), phone numbers (`check_phone`), and account details. The server provides analysis on these vectors without storing highly sensitive personal documents.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript