Does my image data get stored on their servers?

Shumei caches media briefly for anti-spam scanning operations but does not persist non-flagged uploads permanently. Consult your enterprise agreement for strict retention periods.

Shumei Anti-Fraud MCP Server for Google ADK 4 tools — connect in under 2 minutes

Name: Shumei Anti-Fraud
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 4 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Shumei Anti-Fraud as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="shumei_anti_fraud_agent",
    instruction=(
        "You help users interact with Shumei Anti-Fraud "
        "using 4 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Shumei Anti-Fraud MCP Server

Equip your AI agent with Shumei (数美), China's premier risk assessment and anti-fraud platform used by top internet companies. With this MCP server, your agent can autonomously filter NSFW content, detect robotic bot farms, and sanitize text streams.

Google ADK natively supports Shumei Anti-Fraud as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Bot & Emulator Detection — Validate Device IDs and IPs against Shumei risk databases to ban emulators and VPNs
Content Moderation — Scan text, images, and audio URLs for abusive, spam, or explicit content before they reach your platform
Live Risk Scoring — Perform real-time audits on user activities in your logs

The Shumei Anti-Fraud MCP Server exposes 4 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Shumei Anti-Fraud to Google ADK via MCP

Follow these steps to integrate the Shumei Anti-Fraud MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 4 tools from Shumei Anti-Fraud via MCP

Why Use Google ADK with the Shumei Anti-Fraud MCP Server

Google ADK provides unique advantages when paired with Shumei Anti-Fraud through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Shumei Anti-Fraud

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine Shumei Anti-Fraud tools with BigQuery, Vertex AI, and Cloud Functions

Shumei Anti-Fraud + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Shumei Anti-Fraud MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Shumei Anti-Fraud and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Shumei Anti-Fraud tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Shumei Anti-Fraud regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Shumei Anti-Fraud

Shumei Anti-Fraud MCP Tools for Google ADK (4)

These 4 tools become available when you connect Shumei Anti-Fraud to Google ADK via MCP:

check_audio_risk

Predict risk associated with an audio clip

check_device_risk

Determine if a specific device ID or IP is fraudulent or using a VPN

check_image_risk

Scan an image for NSFW or restricted content

check_text_risk

Scan a piece of text for spam, abuse, or NSFW content

Example Prompts for Shumei Anti-Fraud in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Shumei Anti-Fraud immediately.

"Scan this block of text for spam and risk flags: 'Click here to buy cheap followers! https://...'"

Troubleshooting Shumei Anti-Fraud MCP Server with Google ADK

Common issues when connecting Shumei Anti-Fraud to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Shumei Anti-Fraud + Google ADK FAQ

Common questions about integrating Shumei Anti-Fraud MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.