How to Use the Tuputech Moderation MCP in Vercel AI SDK

Q: How do I check for spam using Tuputech Moderation with Vercel AI SDK?

To detect spam, call scantextspam through your Vercel AI SDK client. The result streams back, allowing you to highlight the suspicious text in real-time on your user interface.

Q: Can Tuputech Moderation detect policy violations with Vercel AI SDK?

Yes. You can use scantextpolitics to check if text violates strict guidelines, or use scanimageterrorism for content that involves gore or terrorism.

Q: How does Tuputech Moderation improve with Vercel AI SDK?

You can integrate the submitfeedback tool. If your current moderation results are wrong, calling this function sends manual feedback to help improve the underlying AI models.

Real-time Moderation Results for Vercel AI SDK Streaming UI Responses

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Connect Tuputech Moderation MCP to Vercel AI SDK

Create your Vinkius account to connect Tuputech Moderation to Vercel AI SDK 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 Vercel AI SDK

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Live Video and Audio Safety Checks

When you initiate an asynchronous video scan using `scan_video_stream`, your client receives the results in real-time. This lets users see if a live feed violates policy as the data streams directly into your React or Next.js frontend. Similarly, calling `scan_audio_stream` means you don't show a loading spinner; instead, your UI updates instantly with moderation findings for audio content, giving the user immediate feedback.

Detecting Synthetic and Illegal Imagery

`scan_image_synthetic` detects if an image is AI-generated (Deepfakes), and `scan_image_porn` immediately checks for NSFW material. Because these tools stream, you can display a warning or a flag right as the user uploads the photo. If you need to check for gore or terrorism, using `scan_image_terrorism` provides instant results that surface in your application's UI without delay.

Real-time Text and Spam Filtering

You can run automated checks on text blocks with `scan_text_abuse`, which detects toxic language, or use `scan_text_spam` to flag advertisements. These results appear live in your UI via the streaming mechanism. Furthermore, if you suspect a violation of strict political rules, calling `scan_text_politics` gives you an immediate pass/fail result that feeds directly into the user experience.

Setup guide

Set up Tuputech Moderation MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Tuputech Moderation tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Tuputech Moderation transactions",
});

console.log(text);
await mcpClient.close();

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Common questions about Tuputech Moderation MCP in Vercel AI SDK

To detect spam, call `scan_text_spam` through your Vercel AI SDK client. The result streams back, allowing you to highlight the suspicious text in real-time on your user interface.

This server handles various media types, including text, images, audio streams, and video streams. Specific data checks include detecting pornographic content and identifying Deepfakes.

Yes. You can use `scan_text_politics` to check if text violates strict guidelines, or use `scan_image_terrorism` for content that involves gore or terrorism.

You can integrate the `submit_feedback` tool. If your current moderation results are wrong, calling this function sends manual feedback to help improve the underlying AI models.

The server processes textual content, image files, audio streams, and video streams. It also deals with meta-data related to spam detection.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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