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 LangChain 10 tools — connect in under 2 minutes

Name: Tuputech Moderation
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Tuputech Moderation through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "tuputech-moderation": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Tuputech Moderation, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with Tuputech Moderation through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Tuputech Moderation via MCP

Why Use LangChain with the Tuputech Moderation MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Tuputech Moderation MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Tuputech Moderation queries for multi-turn workflows

Tuputech Moderation + LangChain Use Cases

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

RAG with live data: combine Tuputech Moderation tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Tuputech Moderation, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Tuputech Moderation tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Tuputech Moderation tool call, measure latency, and optimize your agent's performance

Tuputech Moderation MCP Tools for LangChain (10)

These 10 tools become available when you connect Tuputech Moderation to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Tuputech Moderation + LangChain FAQ

Common questions about integrating Tuputech Moderation MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.