How to Use the Certn MCP in Vercel AI SDK

Stream Certn background check data directly into your AI-SDK interfaces for real-time applicant status updates.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Certn MCP to Vercel AI SDK

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

Ask AI about this MCP

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Live applicant screening in AI-SDK

Feed `quick_hr_application` results straight into your UI components without waiting for backend polling. Your users watch as the AI processes background checks live in the browser. This keeps your application responsive and eliminates the need for annoying loading states. You get the data as soon as the API returns it.

Instant report retrieval for AI-SDK

Trigger `get_hr_report_pdf` or `get_hr_report_web` based on user interactions within your frontend. The binary data streams through your edge functions to the client instantly. Stop storing sensitive files on your own servers. Fetch them on-demand and let the AI handle the presentation layer.

Automated HR onboarding MCP Server

Connect this MCP Server to your project to handle `invite_hr_application` flows automatically. The AI manages the handshake between your candidate database and the screening service. You avoid manual data entry entirely. The agent verifies the list using `list_hr_applicants` before sending out new invites.

Setup guide

Set up Certn 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 Certn 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 Certn 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 Certn. 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.

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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 Certn MCP in Vercel AI SDK

Install the MCP package and point your client to the server URL. Use the generated tools inside your streamText calls to start running checks.

Yes. Wrap your tool calls in standard try-catch blocks within your route handlers. You can surface specific API errors directly to your frontend users.

It is. The data moves through secure memory buffers and never touches your local disk unless you explicitly write it. We use transient connections for all PII.

It runs best on the server. Your edge functions handle the auth tokens and keep your secrets away from the client-side bundle.

The MCP protocol throws an error that you can catch. You can then trigger a fallback or notify the user that the background check could not start.

Use it with your favorite AI tools

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

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