How to Use the InfoVetted MCP in Vercel AI SDK

Q: What happens if the InfoVetted API goes down during a Vercel AI SDK session?

Check the status using checkapiconnectivity in your error handler. The system returns an immediate health signal so your UI can display a helpful message instead of crashing.

Stream real-time background screening data directly into your Vercel AI SDK frontends for instant candidate verification.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect InfoVetted MCP to Vercel AI SDK

Create your Vinkius account to connect InfoVetted 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 InfoVetted with Vercel AI SDK

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Live screening updates in your AI SDK UI

Pipe background check status directly into your interface. Your users watch `get_vetting_request_status` results stream live rather than waiting for a spinner. This keeps your application state consistent with the backend. You stop guessing if a check is finished and show the progress as it happens.

Automated candidate onboarding with AI SDK

Trigger `create_screening_contact` the moment a candidate applies. You map incoming data fields straight to your vetting pipeline without manual entry. Your application handles the heavy lifting of data entry. You define the flow, and the agent executes the registration logic in the background.

Dynamic check initiation for your MCP Server

Launch specific screenings using `create_new_vetting_check` based on the candidate's department. You match the check type to the role requirements immediately. This MCP Server ensures you only run necessary verifications. You save costs by avoiding redundant searches for low-risk positions.

Setup guide

Set up InfoVetted 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 InfoVetted 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 InfoVetted transactions",
});

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

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 InfoVetted. 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.

Connect InfoVetted now

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 InfoVetted MCP in Vercel AI SDK

Install the MCP client package and point it at the Vinkius endpoint. You initialize the client and pass the tools into your streamText function. InfoVetted handles the handshake from there.

Yes, it is built for that environment. The lightweight transport ensures low latency when your serverless functions call the vetting API. You get fast responses every time.

We keep everything isolated inside the V8 sandbox. Your candidate records and criminal history searches never touch the client-side code directly. You only see the result you request.

You choose exactly which tools to expose in your configuration. If your agent only needs to read status, you restrict it to `get_vetting_request_status` and nothing else.

Check the status using `check_api_connectivity` in your error handler. The system returns an immediate health signal so your UI can display a helpful message instead of crashing.

Use it with your favorite AI tools

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

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