How to Use the Greenhouse MCP in Mastra AI

Build resilient recruitment workflows in Mastra AI. Automate your hiring pipeline with conditional logic and built-in error handling.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Greenhouse MCP to Mastra AI

Create your Vinkius account to connect Greenhouse to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Greenhouse with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Conditional candidate creation

Set up agents that trigger `create_candidate` only after verifying incoming data. Use the framework's branching to handle missing fields before the call. This keeps your ATS clean. You avoid duplicate records and ensure only qualified entries make it into your pipeline.

Automated hiring stage management

Track application progress across complex multi-step workflows. Use `list_job_stages` to identify where candidates stall in the process. Your agent can trigger alerts when a candidate stays in one stage too long. It turns passive tracking into active pipeline management.

Resilient recruitment operations

Run background tasks that poll for new applications using `list_applications`. The framework manages retries if the network hits a snag. It ensures your hiring data stays consistent. You build reliable systems that don't fall over when the ATS load spikes.

Setup guide

Set up Greenhouse MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Greenhouse tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "greenhouse-mcp-client",
  servers: {
    "greenhouse-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Greenhouse Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Greenhouse tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Greenhouse transactions"
);
console.log(result.text);

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.

Connect Greenhouse 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 Greenhouse MCP in Mastra AI

Yes. You can define workflows that trigger tool calls based on specific events. It handles the logic and the execution.

The framework includes built-in retries. If a request fails, it attempts to reconnect based on your configured backoff policy.

It is. You initialize the MCP client and spread the tools into your agent definition. Everything is ready in minutes.

It does. You can enable human-in-the-loop checks before the agent executes any tool. This prevents accidental changes.

It operates with scoped permissions. Only the data returned by specific tools reaches your agent, ensuring tight access control.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

Start using the Greenhouse MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Get started