Bring Candidate Tracking
to OpenAI Agents SDK
Learn how to connect Greenhouse to OpenAI Agents SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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
How it works
1. Subscribe to this server
2. Retrieve your Harvest API Key from Greenhouse (Configure > Dev Center > API Credential Management)
3. Note a valid User ID to perform actions 'On-Behalf-Of' for auditing purposes
4. Start managing your talent acquisition from Claude, Cursor, or any MCP client
No more manual status updates or digging through candidates in the ATS. Your AI acts as your dedicated recruitment coordinator.
Who is this for?
- Recruiters & Sources — instantly identify candidate statuses and advance top talent through the pipeline using natural language
- Hiring Managers — retrieve job opening details and department structures without leaving your planning tools
- HR Operations — manage office locations and department organization through automated queries
Built-in capabilities (12)
Move candidate to next stage
Can include first name, last name, and company. Add new candidate
Get account connectivity
Get candidate info
Get job metadata
List job applications
List recruitment candidates
List company departments
List office locations
List active job openings
Requires a reason ID. Reject job application
Modify candidate info
Why OpenAI Agents SDK?
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.
- —
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
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Greenhouse in OpenAI Agents SDK
Greenhouse and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Greenhouse to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Greenhouse in OpenAI Agents SDK
The Greenhouse 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Greenhouse for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Greenhouse MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
What is the 'On-Behalf-Of' requirement?
Greenhouse requires write operations to be associated with a specific User ID for auditing. This ID is passed in the header to identify who performed the action.
Can I search for candidates by email?
Yes! Use the list_candidates tool and provide the email parameter to find a specific person's recruitment record and history.
How do I advance an application to the next stage?
The advance_application tool requires a valid application ID. It will automatically move the candidate to the next sequential stage defined in your job's workflow.
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.
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.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
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.
