How to Use the Tuputech Moderation MCP in Mastra AI

Q: How does Tuputech Moderation handle spam detection with Mastra AI?

You can build a robust workflow using scantextspam to check text blocks. If the initial scan flags spam, the workflow can automatically trigger a second review using scantextabuse for toxic language.

Q: Can Tuputech Moderation detect illegal content with Mastra AI?

Yes. You can set up a workflow that first calls scanimageterrorism and then follows up with scanimageporn to ensure the content passes multiple safety checks sequentially.

Q: How does Tuputech Moderation improve using Mastra AI?

You can incorporate submitfeedback into your workflow. If an agent determines that a moderation result is incorrect, it triggers this tool to send manual feedback for model improvement.

Building Resilient Moderation Workflows with Mastra AI Agent Frameworks

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Connect Tuputech Moderation MCP to Mastra AI

Create your Vinkius account to connect Tuputech Moderation to Mastra AI 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 Mastra AI

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Resilient Multi-Step Content Auditing

You can build a workflow that runs multiple checks sequentially. For example, if the initial text passes `scan_text_spam`, the next step might run `scan_text_abuse`. Mastra AI manages this chain and handles retries if one check fails. If an image needs verification, you'll first call `scan_image_synthetic` to see if it's real. If that passes, the workflow can then automatically proceed to check for explicit content using `scan_image_porn`.

Handling Complex Media Moderation

For video moderation in a pipeline, you start by calling `scan_video_stream`. If that process completes successfully, the workflow can branch and initiate an asynchronous audio scan using `scan_audio_stream` for deep analysis. This setup ensures that if one media type fails or times out, Mastra AI's built-in backoff logic attempts to complete the full moderation audit.

Conditional Policy Enforcement

A critical workflow might involve checking both political and abusive language. You can set up a step where if `scan_text_politics` fails, the system automatically triggers a retry check using `scan_text_abuse`. This conditional branching keeps your operations running. If the initial scan is inconclusive, you'll use `submit_feedback` as part of the workflow to flag the data for human review, ensuring continuous improvement.

Setup guide

Set up Tuputech Moderation MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Tuputech Moderation tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "tuputech-moderation-mcp-client",
  servers: {
    "tuputech-moderation-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Tuputech Moderation Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Tuputech Moderation tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Tuputech Moderation transactions"
);
console.log(result.text);

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Common questions about Tuputech Moderation MCP in Mastra AI

You can build a robust workflow using `scan_text_spam` to check text blocks. If the initial scan flags spam, the workflow can automatically trigger a second review using `scan_text_abuse` for toxic language.

The server handles text, images, video streams, and audio streams. It is designed to run these checks within complex, multi-step pipelines.

Yes. You can set up a workflow that first calls `scan_image_terrorism` and then follows up with `scan_image_porn` to ensure the content passes multiple safety checks sequentially.

You can incorporate `submit_feedback` into your workflow. If an agent determines that a moderation result is incorrect, it triggers this tool to send manual feedback for model improvement.

It manages text content, image files, video streams, audio streams, and the associated moderation results (e.g., spam scores).

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