How to Use the Greenhouse MCP in Vercel AI SDK

Stream Greenhouse data directly into your interface with Vercel AI SDK. Build dashboards where candidate records update in real-time.

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Connect Greenhouse MCP to Vercel AI SDK

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

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Real-time candidate pipeline tracking

Pipe live recruitment data straight to your frontend components. Use `list_candidates` to push updates to your UI without waiting for a loading spinner. Your users see the pipeline state as it exists in the ATS. It keeps the view synced with the source through every state change.

Automated job auditing

Fetch live job board data to render dynamic career pages. Use `list_jobs` and `get_job` to display accurate role requirements and status markers. This MCP Server handles the data fetching while your app focuses on the display. It turns static recruitment boards into live-updating assets.

User and office metadata injection

Pull organizational hierarchy data to populate internal admin panels. Access `list_offices` and `list_users` to build custom views for your hiring managers. Everything stays within your Edge Function logic. You get precise control over how candidate and staff information appears to your team.

Setup guide

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

Connect the server via the MCP client transport. You then pass the tools into your generateText call to start pulling data.

Yes. You can pass specific arguments to the tools to refine your lists. Just map your UI inputs to the tool parameters.

It does. Because the SDK streams tool results, your interface reflects the new data as soon as the server returns it.

Your tokens stay on the server side. The client only handles the connection established by your backend environment.

It accesses names, application statuses, and job metadata. Every request is scoped to the specific tools you invoke.

Use it with your favorite AI tools

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

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Vercel AI SDK sdk-typescript

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