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

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Greenhouse through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this App Connector for Mastra AI

The Greenhouse app connector for Mastra AI 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 { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

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

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Greenhouse Agent",
    instructions:
      "You help users interact with Greenhouse " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Greenhouse?"
  );
  console.log(result.text);
}

main();
Greenhouse
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Greenhouse tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

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

01

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

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

Explore tools

Mastra discovers 12 tools from Greenhouse via MCP

Why Use Mastra AI with the Greenhouse MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Greenhouse without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Greenhouse tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Greenhouse + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Greenhouse, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Greenhouse as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Greenhouse on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Greenhouse tools alongside other MCP servers

Example Prompts for Greenhouse in Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Greenhouse + Mastra AI FAQ

Common questions about integrating Greenhouse MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.