How to Use the Tuputech Moderation MCP in Google ADK

Q: Can I check for synthetic media using Tuputech Moderation with the Google ADK?

Yes, you can use scanimagesynthetic. Since your agents are running in an enterprise environment, this helps maintain data integrity by validating media sources.

Q: Does Tuputech Moderation handle video scanning with the Google ADK?

Absolutely. You initiate a scan using scanvideostream. This is great for processing long-form content pulled into your Vertex AI pipeline.

Q: If I need to improve moderation rules, how does Tuputech Moderation and the Google ADK help?

You can use submitfeedback through the agent framework. This manual input helps refine the models, making your enterprise guardrails tougher.

Run enterprise moderation checks across your data lake using the Google ADK.

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Connect Tuputech Moderation MCP to Google ADK

Create your Vinkius account to connect Tuputech Moderation 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 Tuputech Moderation with Google ADK

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Detect spam and advertisements in text

You can use `scan_text_spam` to check large batches of submitted text. This tool quickly determines if a block of content is junk or contains excessive ads. It’s perfect for agents processing data that originated in BigQuery, ensuring only clean records get passed along.

Scan images for prohibited gore/terrorism

The agent calls `scan_image_terrorism` to check media against severe content policies. This is a critical step when ingesting large volumes of user-submitted images. It provides an immediate flag if the image contains any kind of graphic violence or threat material.

Check text for general abusive language

Run `scan_text_abuse` against records retrieved from your Google Cloud infrastructure. This checks for basic toxicity that might violate company policy. If the score is high, the agent can automatically quarantine or reject the record.

Setup guide

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

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Common questions about Tuputech Moderation MCP in Google ADK

The agent executes moderation tools as if they were native BigQuery functions. You simply pass data through the `mcp_toolset` and get validated results back.

Yes, you can use `scan_image_synthetic`. Since your agents are running in an enterprise environment, this helps maintain data integrity by validating media sources.

Absolutely. You initiate a scan using `scan_video_stream`. This is great for processing long-form content pulled into your Vertex AI pipeline.

You can use `submit_feedback` through the agent framework. This manual input helps refine the models, making your enterprise guardrails tougher.

This server touches text, image, audio, and video data types. It performs deep scans on all media formats to detect content violations across your Google Cloud environment.

Use it with your favorite AI tools

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

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