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

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.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Greenhouse app connector for OpenAI Agents 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

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())
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.

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 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 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.

All 12 Greenhouse tools available for OpenAI Agents SDK

When OpenAI Agents 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 OpenAI Agents SDK via MCP

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

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

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.

01

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

02

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

03

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

04

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.

01

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

02

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

03

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

04

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

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.

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 OpenAI Agents SDK

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

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

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.

01

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.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.