Can my agent list all candidates for a specific job in Greenhouse?

Yes. Use the 'list_candidates' tool with the 'job_id' parameter. The agent will fetch all candidates associated with that specific opening flawlessly.

How do I check the current hiring stage of an applicant via chat?

You can use the 'get_application' tool. Provide the Application ID, and the agent will return the full details, including the candidate's current stage in the hiring process natively.

Can I search for candidates who were added recently through the agent?

Absolutely. Use the 'list_candidates' tool with sorting or filtering parameters like 'created_after'. Your agent will retrieve the most recent additions to your Greenhouse database natively.

Greenhouse MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes

Name: Greenhouse
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Greenhouse through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Greenhouse Assistant",
            instructions=(
                "You help users interact with Greenhouse. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Greenhouse"
        )
        print(result.final_output)

asyncio.run(main())

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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 Recruiting account to any AI agent and take control of your talent acquisition pipeline through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from Greenhouse through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Greenhouse, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Candidate Oversight — List all candidates in your system and retrieve specific profile details natively
Pipeline Tracking — Monitor job applications and their current statuses across your active hiring processes flawlessly
Job Management — List and inspect job configurations, including hiring stages and department mappings synchronously
Team Coordination — Retrieve office and department structures to ensure your hiring data is aligned with organizational goals
User Auditing — List and verify user roles and access levels within your Greenhouse workspace natively

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

How to Connect Greenhouse to OpenAI Agents SDK via MCP

Follow these steps to integrate the Greenhouse MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 12 tools from Greenhouse

Why Use OpenAI Agents SDK with the Greenhouse MCP Server

OpenAI Agents SDK provides unique advantages when paired with Greenhouse through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Greenhouse + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Greenhouse MCP Server delivers measurable value.

Automated workflows: build agents that query Greenhouse, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Greenhouse, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Greenhouse tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Greenhouse to resolve tickets, look up records, and update statuses without human intervention

Greenhouse MCP Tools for OpenAI Agents SDK (12)

These 12 tools become available when you connect Greenhouse to OpenAI Agents SDK via MCP:

create_candidate

Create a new candidate profile

get_application

Get details for a specific application

get_candidate

Get details for a specific candidate

get_job

Get details for a specific job

get_user

Get details for a specific user

list_applications

Retrieve job applications

list_candidates

List all candidates in Greenhouse

list_departments

List company departments

list_job_stages

List hiring stages for a specific job

list_jobs

List jobs in Greenhouse

list_offices

List company offices

list_users

List Greenhouse users

Example Prompts for Greenhouse in OpenAI Agents SDK

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

"List my active jobs in Greenhouse"

"Show me the profile for candidate ID 93021"

"What are the hiring stages for the 'Product Designer' job?"

Troubleshooting Greenhouse MCP Server with OpenAI Agents SDK

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

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Greenhouse + OpenAI Agents SDK FAQ

Common questions about integrating Greenhouse MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.