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How to Use the Hive AI MCP in Vercel AI SDK

Moderate user inputs in real-time with Hive AI directly inside your Vercel AI SDK streams for instant safety checks.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Hive AI MCP to Vercel AI SDK

Create your Vinkius account to connect Hive AI 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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Real-time content moderation for Vercel AI SDK

Stop passing unchecked data into your LLM chains. Use `moderate_text` or `moderate_image` to intercept harmful content before your Vercel AI SDK stream even hits the end user. Your UI updates as the tool result returns. The end user gets a clean experience because the moderation happens in the same lifecycle as the response generation.

Detect AI-generated media in your frontend

Verify if user-uploaded media is synthetic without building custom pipelines. The `detect_ai_generated_image` tool plugs into your Vercel AI SDK workflow to flag potential deepfakes or bot-generated uploads. You handle the classification logic in your Edge Function code. It keeps your bundle lean and shifts the heavy lifting to the API.

Handle async moderation tasks with ease

Video and audio files take time to process. Use `moderate_video_async` or `moderate_audio_async` to trigger the check and return a task ID to your Vercel AI SDK agent. Poll for updates using `get_async_task_status`. Once the work is done, run `get_async_task_result` to update your React or Svelte component with the final verdict.

Setup guide

Set up Hive AI 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 Hive AI transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hive AI. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Hive AI MCP in Vercel AI SDK

Install the MCP client package and connect your endpoint. Pass the tools into your generateText or streamText calls to start filtering content immediately.
Yes. The tool results stream back just like any other data. You can show moderation status to the user while the rest of the response finishes loading.
Absolutely. Since the connection uses HTTP transport, it fits perfectly into the Edge runtime. Just keep your API keys stored in environment variables.
Use the async tools. They return a task ID so your frontend can stay responsive while the backend waits for the final result.
Your data is processed only for the moderation task requested. We don't store your user content, and the connection is encrypted from your server to the API.

Start using the Hive AI MCP today

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