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Greenhouse MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Advance Application, Create Candidate, Get Api Status, and more

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Greenhouse through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

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The Greenhouse app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Greenhouse, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Greenhouse MCP Server

Connect your Greenhouse account to any AI agent and take full control of your hiring pipeline and recruitment workflows through natural conversation.

The Vercel AI SDK gives every Greenhouse tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Candidate Orchestration — List and manage candidate records programmatically, including contact info, current company, and professional titles
  • Application Lifecycle — Monitor job applications and take immediate action by advancing candidates to the next stage or marking rejections with reasons
  • Job Management — Access detailed metadata for all active job openings, including hiring teams and department structures
  • Organizational Visibility — Retrieve complete company department lists and office locations to coordinate recruitment logistics
  • System Monitoring — Check API connectivity and Harvest API status directly through your agent for reliable data operations

The Greenhouse MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Greenhouse tools available for Vercel AI SDK

When Vercel AI SDK connects to Greenhouse through Vinkius, your AI agent gets direct access to every tool listed below — spanning candidate-tracking, hiring-pipeline, talent-acquisition, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

advance_application

Move candidate to next stage

create_candidate

Can include first name, last name, and company. Add new candidate

get_api_status

Get account connectivity

get_candidate_details

Get candidate info

get_job_details

Get job metadata

list_applications

List job applications

list_candidates

List recruitment candidates

list_departments

List company departments

list_offices

List office locations

list_open_jobs

List active job openings

reject_application

Requires a reason ID. Reject job application

update_candidate

Modify candidate info

Connect Greenhouse to Vercel AI SDK via MCP

Follow these steps to wire Greenhouse into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 12 tools from Greenhouse and passes them to the LLM

Why Use Vercel AI SDK with the Greenhouse MCP Server

Vercel AI SDK provides unique advantages when paired with Greenhouse through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Greenhouse integration everywhere

03

Built-in streaming UI primitives let you display Greenhouse tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Greenhouse + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Greenhouse MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Greenhouse in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Greenhouse tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Greenhouse capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Greenhouse through natural language queries

Example Prompts for Greenhouse in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Greenhouse immediately.

01

"Find candidate with email 'candidate@example.com' and show their status."

02

"List all active job openings for the 'Engineering' department."

03

"Advance application ID 'app_987' to the next stage."

Troubleshooting Greenhouse MCP Server with Vercel AI SDK

Common issues when connecting Greenhouse to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Greenhouse + Vercel AI SDK FAQ

Common questions about integrating Greenhouse MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.