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How to Use the IPQualityScore (IPQS) MCP in Vercel AI SDK

Stream real-time fraud detection data from IPQualityScore (IPQS) directly into your Vercel AI SDK frontends.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect IPQualityScore (IPQS) MCP to Vercel AI SDK

Create your Vinkius account to connect IPQualityScore (IPQS) 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 user vetting in the browser

Pipe `email_lookup` and `phone_lookup` results straight into your React components. Your users get instant feedback on their registration details without waiting for background jobs to finish. Since this MCP Server works with the Vercel AI SDK, you can trigger these tools during a streaming text response. It turns a static form validation into a live, interactive conversation.

Live security monitoring in the UI

Feed `ip_lookup` and `url_lookup` data into your dashboard to show exactly why a session was flagged. You don't have to hide the logic behind a black box anymore. Your UI updates as the agent processes the risk scores. It builds trust by showing the user the specific signals gathered from IPQualityScore (IPQS) at the moment of the request.

Manage your API health on the fly

Check your remaining budget with `get_credits` before firing off high-volume requests. You can warn the user or switch modes if the credit pool is running low. Keep your app running smooth by using `get_account` to verify your subscription status. It prevents your edge functions from failing unexpectedly due to configuration drift.

Setup guide

Set up IPQualityScore (IPQS) 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 IPQualityScore (IPQS) 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 IPQualityScore (IPQS) 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 IPQualityScore. 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 IPQualityScore (IPQS) MCP in Vercel AI SDK

Install the MCP client packages and point your transport to the Vinkius endpoint. Use the `generateText` function to pass the IPQS tools to your agent, allowing it to verify data during the stream.
Yes. The server communicates via standard protocols that edge environments handle perfectly. Just ensure your environment variables are set.
Absolutely. By hooking the tools into your agent loop, you can validate inputs as the user types or submits their data. It provides immediate security feedback.
Catch the errors within your tool execution block. The server returns standard responses, so you can display custom error states in your UI components.
It only processes the specific identifiers you pass to it, like IP addresses or email strings, to fetch risk scores. No persistent logs are stored on the server side.

Start using the IPQualityScore (IPQS) MCP today

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