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How to Use the Tuputech Moderation MCP in OpenAI Agents SDK

Run safety and content checks on all media assets using your OpenAI Agents SDK.

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OpenAI Agents SDK

Connect Tuputech Moderation MCP to OpenAI Agents SDK

Create your Vinkius account to connect Tuputech Moderation to OpenAI Agents SDK 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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Scan for synthetic or deepfake images

Detects if an image was generated by AI. The agent uses `scan_image_synthetic` to check the source integrity of media. This is key when processing user-uploaded content; it tells you whether the visual data is real or fabricated.

Analyze video streams for violations

Initiate an asynchronous deep scan on full videos. The agent triggers `scan_video_stream` and waits for a report detailing any problematic content. This handles large media files, making sure your production pipeline doesn't get stuck validating every frame.

Check text blocks for toxicity

The agent runs `scan_text_abuse` against incoming messages. It flags language that violates basic civility or is otherwise toxic. It’s a quick guardrail check, letting you block abusive input before it ever reaches your core logic.

Setup guide

Set up Tuputech Moderation MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Tuputech Moderation tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Tuputech Moderation tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Tuputech Moderation tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Tuputech Moderation Agent",
            instructions="You have access to Tuputech Moderation tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Tuputech. 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 Tuputech Moderation MCP in OpenAI Agents SDK

The agent treats moderation checks as standard tools. You just call `scan_text_abuse` or similar functions, and your built-in guardrails validate the result before proceeding.
Yep. You can use `scan_text_politics` to enforce strict guidelines. The agent returns a pass/fail status, letting you decide if the text moves forward.
It does. You can use `scan_image_ad` to detect advertisements that are disguised inside images, which is crucial for content review agents.
You can submit manual feedback via `submit_feedback`. This helps improve the underlying AI models, so the server gets better over time.
This server touches text, image, audio, and video data types. It performs scans on all these media formats to detect content violations.

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