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 CrewAI 10 tools — connect in under 2 minutes

Name: Tuputech Moderation
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Tuputech Moderation through Vinkius, pass the Edge URL in the `mcps` parameter and every Tuputech Moderation tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Tuputech Moderation Specialist",
    goal="Help users interact with Tuputech Moderation effectively",
    backstory=(
        "You are an expert at leveraging Tuputech Moderation tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Tuputech Moderation "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Tuputech Moderation becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Tuputech Moderation tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Tuputech Moderation

Why Use CrewAI with the Tuputech Moderation MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Tuputech Moderation through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Tuputech Moderation + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Tuputech Moderation for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Tuputech Moderation, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Tuputech Moderation tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Tuputech Moderation against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Tuputech Moderation MCP Tools for CrewAI (10)

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

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

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Tuputech Moderation + CrewAI FAQ

Common questions about integrating Tuputech Moderation MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.