How is the RSA authentication performed?

No manual prompt instructions are needed. You simply set your RSA Private Key safely into your MCP profile in Vurb. When your AI triggers an endpoint like `scan_image_porn`, the Vurb NodeJS shell dynamically computes the RSA `signature` hashing your exact Nonce+Timestamp completely isolated from your prompt traces.

Tuputech Moderation MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Tuputech Moderation
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Tuputech Moderation through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Tuputech Moderation "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Tuputech Moderation?"
    )
    print(result.data)

asyncio.run(main())

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* 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 Tuputech Moderation MCP Server

Integrate your AI closely with Tuputech (图普科技), one of the internet's most accurate machine-learning visual and text evaluation databases. With 10 deep scanning endpoints, you can create automated trust and safety AI workflows.

Pydantic AI validates every Tuputech Moderation tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Deepfake Detection — Submit image URLs directly to identify if they are AI-generated (Synthetic)
Categorical Risk Scoring — Split your moderation into Pornography, Terrorism, Toxic/Abuse, or Advertisement scanning intelligently depending on LLM context
A/V Streams — Trigger asynchronous moderation on videos or audio fragments rapidly

The Tuputech Moderation MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI 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 Tuputech Moderation to Pydantic AI via MCP

Follow these steps to integrate the Tuputech Moderation MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Tuputech Moderation with type-safe schemas

Why Use Pydantic AI with the Tuputech Moderation MCP Server

Pydantic AI provides unique advantages when paired with Tuputech Moderation through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Tuputech Moderation integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Tuputech Moderation connection logic from agent behavior for testable, maintainable code

Tuputech Moderation + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Tuputech Moderation MCP Server delivers measurable value.

Type-safe data pipelines: query Tuputech Moderation with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Tuputech Moderation tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Tuputech Moderation and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Tuputech Moderation responses and write comprehensive agent tests

Tuputech Moderation MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Tuputech Moderation to Pydantic AI via MCP:

scan_audio_stream

Initiate an asynchronous audio scan

scan_image_ad

Detect advertisements disguised inside images

scan_image_porn

Scan an image for NSFW or pornographic content

scan_image_synthetic

Detect if an image is generated by AI (Deepfakes)

scan_image_terrorism

Scan an image for terrorism or gore

scan_text_abuse

Detect abusive or toxic language

scan_text_politics

Check if text violates strict political guidelines

scan_text_spam

Scan text block for spam and advertisements

scan_video_stream

Initiate an asynchronous video scan

submit_feedback

Submit manual feedback to improve AI results

Example Prompts for Tuputech Moderation in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Tuputech Moderation immediately.

"Check if this profile photo contains NSFW or Gore imagery: https://..."

"Scan this text and see if it is spam or political botting: 'Buy followers here...'"

Troubleshooting Tuputech Moderation MCP Server with Pydantic AI

Common issues when connecting Tuputech Moderation to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Tuputech Moderation + Pydantic AI FAQ

Common questions about integrating Tuputech Moderation MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Tuputech Moderation MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.