How to Use the ApplicantStack MCP in Vercel AI SDK

Stream real-time ApplicantStack hiring data directly into your Vercel AI SDK frontends.

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Connect ApplicantStack MCP to Vercel AI SDK

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

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Live ApplicantStack data in Vercel AI SDK

Feed candidate details straight into your UI components without waiting for backend roundtrips. Use `get_candidate` to push profile updates directly to your React state while the AI processes. Your users watch the hiring pipeline populate in real-time. The Vercel AI SDK handles the stream, so your interface reflects the current `list_candidates` output the moment it hits the edge.

Manage hires within Vercel AI SDK

Trigger onboarding workflows by calling `list_hires` from your server-side functions. You keep the state synced between your applicant database and your custom dashboard. Moving a candidate requires one call to `update_candidate`. Your frontend stays responsive, showing the new stage immediately after the function completes.

Automate job tracking with Vercel AI SDK

Pull open positions into your app using `list_jobs` and display them alongside live AI commentary. Developers use `get_job` to fetch specific requirements for dynamic filtering. This MCP Server provides the raw JSON your components need to render listings. You control exactly how the data looks without manual parsing.

Setup guide

Set up ApplicantStack 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 ApplicantStack 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 ApplicantStack 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 ApplicantStack. 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 ApplicantStack MCP in Vercel AI SDK

Install the necessary packages and initialize the client with your Vinkius endpoint. Use the `createMCPClient` method to establish the HTTP connection. You then pass the tools into your `generateText` config.

Yes, you use the authProvider setting during client initialization. This ensures your requests carry the required tokens for secure access.

It does. Because the server supports streaming transports, the tool outputs appear in your UI as they arrive. There is no need for artificial delays.

Your code receives a standard error object from the MCP connection. You should handle these as you would any other promise rejection in your Next.js functions.

Your candidate records and hiring data stay encrypted during transmission. We use ephemeral sessions that clear immediately after your request finishes.

Use it with your favorite AI tools

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

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