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 LlamaIndex 10 tools — connect in under 2 minutes

Name: Tuputech Moderation
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Tuputech Moderation as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Tuputech Moderation. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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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.

LlamaIndex agents combine Tuputech Moderation tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the Tuputech Moderation MCP Server

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

Data-first architecture: LlamaIndex agents combine Tuputech Moderation tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Tuputech Moderation tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Tuputech Moderation, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Tuputech Moderation tools were called, what data was returned, and how it influenced the final answer

Tuputech Moderation + LlamaIndex Use Cases

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

Hybrid search: combine Tuputech Moderation real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Tuputech Moderation to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Tuputech Moderation for fresh data

Analytical workflows: chain Tuputech Moderation queries with LlamaIndex's data connectors to build multi-source analytical reports

Tuputech Moderation MCP Tools for LlamaIndex (10)

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

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Tuputech Moderation + LlamaIndex FAQ

Common questions about integrating Tuputech Moderation MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Tuputech Moderation tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.