Note: Greenhouse MCP is currently in open beta. Access depends on your subscription tier and admin configuration.
Greenhouse MCP helps your team connect approved AI tools, such as Claude, Gemini, ChatGPT, or Copilot, to your Greenhouse data.
This guide highlights practical workflows recruiting teams can use with Greenhouse MCP. Examples are organized by role, with a prompt to start with, one to try next, and a more advanced workflow to explore.
Recruiter workflows
Recruiters can use Greenhouse MCP to review pipeline movement, prepare for debriefs faster, and spot issues earlier in the hiring process.
Start with: Pipeline velocity report
See where candidates are sitting, how long they have been there, and which reqs may need attention — without opening each one individually.
Example prompt: "Show me how long candidates have been in each stage for all of my active reqs. Flag anyone stuck in the same stage for more than 10 days."
Then try: Instant candidate fit assessment
Pull a candidate's application, the job description, scorecard feedback, and interview notes into one view before a debrief or screen review.
Example prompt: "Review [candidate name] for job [ID]. Pull their application, the job description, and scorecard notes. Give me a plain-language fit assessment and flag any concerns."
Go further: Compensation mismatch early warning
Spot compensation risk before it slows the process by identifying candidates whose stated salary expectations are above the midpoint of the posted band.
Example prompt: "For all candidates in active pipeline who listed a desired salary, flag anyone whose expectation exceeds the midpoint of our posted band for that role."
Coordinator workflows
Coordinators can use Greenhouse MCP to keep interviews moving, check for setup gaps, and reduce repetitive coordination work.
Start with: Interviewer RSVP tracking
Find interviews scheduled for the current week where an interviewer has not responded or has declined, then draft follow-up messages to keep scheduling on track.
Example prompt: "Find all interviews scheduled for this week where an interviewer has not responded or declined. Draft a Slack message for each and send them."
Then try: Interview kit consistency audit
Compare active interview kits to see what is standardized, what is missing, and which jobs do not have interview kits configured at all.
Example prompt: "Compare the interview kits across all active engineering jobs. Which attributes are consistent, which are missing, and which jobs don't have interview kits at all?"
Go further: Job checklist verification
Check a job against your standard setup checklist, identify missing pieces, and complete supported updates through the API when available.
Example prompt: "Compare job [ID] against our standard job setup checklist [paste checklist]. Tell me what's missing and fix anything you can through the API."
TA leader workflows
TA leaders can use Greenhouse MCP to monitor hiring quality, keep priorities current, and create reporting views that would otherwise require manual work or a separate analytics tool.
Start with: Scorecard completion accountability
See which hiring managers are submitting scorecards, which are not, and how approval patterns vary across recent interviews.
Example prompt: "For all interviews in the last 30 days, show me which hiring managers submitted scorecards, which didn't, and what their approval rates look like."
Then try: Bulk job priority updates from a meeting
Turn meeting notes into action by updating priority fields across multiple jobs based on leadership or hiring review decisions.
Example prompt: "Here are the notes from today's leadership meeting: [paste notes]. Update the priority custom fields for the affected jobs accordingly."
Go further: Live pipeline dashboard
Create a custom view across active requisitions with stage breakdown, candidate sentiment, sourcing flags, and interview signals.
Example prompt: "Give me a dashboard of all active reqs for my team, sorted by priority. Show stage breakdown, days open, and flag jobs where all candidates have negative scorecard sentiment."
Hiring manager workflows
Hiring managers can use Greenhouse MCP to get a quick view of open jobs, review candidates with more context, and compare hiring plans against current team priorities.
Start with: Pipeline snapshot by req
Get one view of every req you own, including pipeline by stage, candidates closest to offer, expected start dates, and anything that needs attention this week.
Example prompt: "Catch me up on all of my open reqs. For each one, show pipeline by stage, which candidates are closest to offer, expected start date if known, and any risks or actions needed this week."
Then try: Candidate and debrief summary
Pull scorecards, interview notes, and debrief feedback into one plain-language summary so you can review candidates faster and focus on the key decision points.
Example prompt: "Summarize [candidate] for [job ID]. Pull scorecards, interview notes and debrief feedback. Show where interviewers agree or disagree, what risks are still open and what decision points I should focus on."
Go further: Role reality check
Compare the job description and interview kit against current team priorities from Slack, Drive, and planning docs to identify what may be outdated, missing, or overemphasized.
Example prompt: "Compare the job description and interview kit for [job ID] against our current team priorities from Slack, Drive, and planning docs. What looks outdated, missing, or overemphasized based on how this team actually works today?"
Operations and people analytics workflows
Operations teams and people analysts can use Greenhouse MCP to audit hiring data, prototype reporting workflows, and investigate process bottlenecks before building a permanent report.
Start with: Job description audit for compliance
Identify active jobs that are missing a job description or posting, and flag evergreen requisitions that have not been posted externally.
Example prompt: "List every active job that either has no job posting or no job description. Also flag any evergreen reqs that haven't been posted externally."
Then try: Offer approval bottleneck analysis
Review approval timing to see which approvers take the longest to respond and where the offer process tends to slow down.
Example prompt: "For the last 90 days, show me average time-to-approve broken down by approver. Who are the biggest bottlenecks in our offer approval chain?"
Go further: Recruiter bottleneck identification
Surface which recruiters have the most stalled candidates in their pipelines so teams can spot operational bottlenecks faster.
Example prompt: "Which recruiters have the most candidates that haven't moved stages in the last 7 days? Group by recruiter and stage."
Go further: Performance-to-profile feedback loop
Connect hiring data to downstream outcomes by combining scorecard data, hiring manager feedback, 90-day recommit responses, and later performance signals. Use those patterns to identify traits associated with success, build an ideal candidate profile, and recommend updates to interview kits, scorecards, and candidate profiles.
Example prompt: "For hires in [team or segment], combine scorecard data, hiring manager feedback, 90-day recommit responses, and later performance signals. Identify the traits and signals most associated with success, build an ideal candidate profile for that segment and recommend updates to our interview kits, scorecards and candidate profile."
Before you start
- Adapt the prompts to your own jobs, teams, and workflows.
- Replace bracketed placeholders with your own values.
- Start with a read-only workflow first, such as reporting or summarization, before trying a workflow that writes data back to Greenhouse.
- Available data and actions depend on the scopes your admin has enabled and your existing Greenhouse permissions.