How to Use the Tuputech Moderation MCP in CrewAI

Q: How does Tuputech Moderation improve with CrewAI?

The crew can be programmed to use the submitfeedback tool. If any agent determines a moderation finding is incorrect, it submits manual feedback for model refinement.

Autonomous Moderation Audits with CrewAI Multi-Agent Teams

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Connect Tuputech Moderation MCP to CrewAI

Create your Vinkius account to connect Tuputech Moderation to CrewAI 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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Setup Tuputech Moderation with CrewAI

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Perplexity

Coordinated Media Security Audit

You can assign specialized roles to your agents. An 'Image Auditor' agent uses `scan_image_porn` and `scan_image_synthetic` while a separate 'Safety Agent' uses `scan_image_terrorism`. The monitor agent collects both sets of findings. This collaboration ensures that the content is reviewed against multiple, distinct policies simultaneously without requiring manual intervention.

Full-Spectrum Text Analysis

One agent can be assigned to analyze text for general abuse using `scan_text_abuse`. Another specialized agent checks political adherence with `scan_text_politics`. The final 'Moderator' agent then cross-references both reports. Additionally, if the content is a large spam block, that dedicated agent runs `scan_text_spam` to catch disguised ads.

Multi-Format Content Screening

For complex submissions, you can deploy a 'Media Specialist' agent. This agent coordinates the initial video scan using `scan_video_stream`, and if that passes, it assigns another task to check associated audio streams via `scan_audio_stream`. This hierarchical execution model guarantees that all necessary media types are screened by specialized tools before final approval.

Setup guide

Set up Tuputech Moderation MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Tuputech Moderation tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Tuputech Moderation Analyst",
    goal="Access and analyze Tuputech Moderation data via MCP.",
    backstory="Expert analyst with direct Tuputech Moderation access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Tuputech Moderation transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Tuputech Moderation Analyst",
        goal="Access and analyze Tuputech Moderation data via MCP.",
        backstory="Expert analyst with direct Tuputech Moderation access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Tuputech Moderation transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

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 CrewAI

You assign a role to an agent specifically tasked with running `scan_text_abuse`. This specialized agent reviews the text and reports if toxic language is present, allowing your crew to take action.

The server handles a mix of inputs: text blocks, images, video streams, audio streams, and the resulting moderation flags (e.g., spam, pornographic).

Yes. You can run multiple specialized scans concurrently—for instance, using `scan_video_stream` and `scan_audio_stream` simultaneously—to ensure comprehensive coverage.

The crew can be programmed to use the `submit_feedback` tool. If any agent determines a moderation finding is incorrect, it submits manual feedback for model refinement.

The system works with textual data, image files, video streams, audio streams. It also deals with policy violation metrics like spam scores and synthetic detection status.

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