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MCP Integrations Greenhouse
MCP & AI Agent Integration

Greenhouse
automation.

17 AI agent actions for Greenhouse — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Greenhouse to book meetings, send reminders, and manage availability without manual coordination. Full governance, audit trail, and dry-run safety on every execution.

Connect Greenhouse free Browse all integrations →
No credit card required
Live in production environments
<200ms median execution
Dry-run before production
Execution trace
live
17
actions
100%
governed
<200ms
latency
17
AI agent actions
12
Read operations
5
Write operations
0
High-risk actions (approval gated)
Scheduling Greenhouse is a Scheduling integration — use it to automate appointments, meetings, and calendar management from any AI agent or MCP-compatible runtime.
Actions

What you can do
with Greenhouse.

Every action below is available as an MCP tool and a verb in Cerebral OS — callable from any AI agent, Claude, Cursor, Windsurf, or your own runtime via the BYOA API. All executions are governed, audited, and dry-run safe.

Get Application
greenhouse:get_application
Fetch a single application by ID with candidate info, job details, and current stage.
Read Low risk
Get Candidate
greenhouse:get_candidate
Fetch a single candidate by ID with contact info and application history.
Read Low risk
Get Job
greenhouse:get_job
Fetch a single job posting by ID with details and status.
Read Low risk
Get User
greenhouse:get_user
Fetch a single user by ID with contact info and permissions.
Read Low risk
List Applications
greenhouse:list_applications
List applications with optional filtering by job, candidate, status, and date range.
Read Low risk
List Candidates
greenhouse:list_candidates
List candidates with optional filtering by job, email, and date ranges.
Read Low risk
List Departments
greenhouse:list_departments
List all departments in the organization.
Read Low risk
List Jobs
greenhouse:list_jobs
List jobs with optional filtering by status, department, office, and date range.
Read Low risk
List Job Stages
greenhouse:list_job_stages
List all stages for a specific job to understand the hiring pipeline.
Read Low risk
List Offices
greenhouse:list_offices
List all offices in the organization.
Read Low risk
List Rejection Reasons
greenhouse:list_rejection_reasons
List all rejection reasons available for rejecting applications.
Read Low risk
List Users
greenhouse:list_users
List users with optional filtering by email and date range.
Read Low risk
Advance Application
greenhouse:advance_application
Advance an application to the next stage in the hiring process.
Write Medium risk
Create Candidate
greenhouse:create_candidate
Create a new candidate in Greenhouse with basic contact information.
Write Medium risk
Create Note
greenhouse:create_note
Create a note on an application for tracking candidate feedback and decisions.
Write Medium risk
Reject Application
greenhouse:reject_application
Reject an application with a specific reason and optional note.
Write Medium risk
Schedule Interview
greenhouse:schedule_interview
Schedule an interview for an application at a specific time with interviewers.
Write Medium risk
MCP & Runtime API

Call Greenhouse
from any AI agent.

Any AI agent — Claude, Cursor, LangChain, AutoGen, or your own — can call Greenhouse actions through the Cerebral OS Runtime API. Governance, credentials, and audit trail fire automatically.

greenhouse:get_application READ
# Call via Runtime API
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "greenhouse:get_application",
    "args": {},
    "execution_id": "agent-001"
  }'
greenhouse:advance_application WRITE
# Dry-run first — no production risk
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "greenhouse:advance_application",
    "args": {},
    "execution_id": "agent-001",
    "metadata": {"dryRun": true}
  }'
Get your Runtime API key at app.cerebralos.com/signup — 1,000 free executions, no credit card required.
AI agent examples

What your AI agent
can do with Greenhouse.

Real patterns your AI agent can execute via MCP or the Runtime API. Every action governed, dry-run safe, and fully audited.

Trigger
AI agent needs Greenhouse data
Call greenhouse:get_application via MCP or Runtime API
AI processes result and takes next action
Full execution logged to audit trail automatically
Trigger
Workflow needs to write to Greenhouse
Dry-run validates greenhouse:advance_application before execution
Approval gate fires if risk level is high
Action executes with full governance — logged, audited, reversible
Trigger
Booking or event created
Send confirmation
Sync to calendar
Trigger prep workflow
How it works

Every Greenhouse action
governed end-to-end.

Cerebral OS isn't a connector. It's the execution layer that sits in front of Greenhouse — adding governance, dry-run safety, and a full audit trail to every operation.

Governance first
Every verb carries a risk classification. High-risk writes require explicit approval gates before they execute in production.
Dry-run safe
Simulate any Greenhouse action before it touches production. See exactly what would happen before a single real call is made.
Immutable audit trail
Every Greenhouse action is logged — what ran, what changed, who approved it, when it happened. Full history on every verb, forever.
Connect with

Greenhouse works best
alongside these.

Build multi-step workflows that connect Greenhouse to the rest of your stack. All governed. All audited.

Google Calendar Calendly V2 Hubspot Zoom Gmail
Greenhouse integration

Start free.
No credit card required.

Start free with 1,000 runs — no credit card required. Connect Greenhouse in minutes, dry-run every action before it touches production, full audit trail on everything.

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