Greenhouse + Improvado MCP — Recruiting Pipeline, Instantly Queryable
Improvado MCP extracts candidate, pipeline, and hiring performance data from Greenhouse and makes it queryable by AI agents in plain English.
46K+ metrics · Read & Write access · 500+ platforms · <60s setup
Instant Recruiting Intelligence From Greenhouse
Stop exporting Greenhouse reports for every stakeholder request. Improvado MCP connects your AI agent to Greenhouse so talent teams and hiring managers can query pipeline data conversationally.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
How many candidates are active per open role?
30 min → 1 min
What's our stage conversion rate from screen to offer?
1 hr → 2 min
Show average time-in-stage by job department
45 min → 1 min
Example prompts
"Show anomalies across all accounts"
2h → 40s
"CPL in New York vs. California?"
1h → 30s
"ROAS by campaign type, last 30 days"
45m → 15s
Works with
Claude
ChatGPT
Cursor
+5
Push Recruiting Insights Into Planning Systems
After querying Greenhouse, push pipeline summaries, bottleneck flags, and headcount updates to planning tools and stakeholder docs without switching platforms.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Export new hires from last 30 days to HRIS queue
Manual → auto
Log stalled requisitions to headcount tracker
1 hr → 3 min
Write weekly pipeline report to shared doc
2 hrs → 5 min
Write actions
"Launch A/B test, $5K budget"
5 days → 20m
"Shift 20% of Display to PMax"
2h → 1m
"Pause all ad groups with CPA > $50"
30m → 10s
🛡
Every action logged · Fully reversible · SOC 2 certified
Monitor Pipeline Health Across All Requisitions
Set AI watches on requisition age, stage velocity, and scorecard completion rates. Improvado MCP surfaces hiring risks early so nothing slips through.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Alert when any role exceeds 45-day time-to-fill
Manual → auto
Track scorecard submission rate per interviewer weekly
2 hrs → 5 min
Monitor offer decline rate by department monthly
1 hr → 2 min
Monitor prompts
"Flag ad groups over 120% budget"
3h → 1m
"Weekly report: spend, CPA, anomalies"
3h → auto
"Which creatives are fatiguing?"
2h → 30s
Alerts sent to Slack, email, or your AI agent
One conversation. All six phases. Every platform.
The Closed Loop: Read → Decide → Write → Monitor
After querying Greenhouse, push pipeline summaries, bottleneck flags, and headcount updates to planning tools and stakeholder docs without switching platforms.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Incomplete Scorecards Delay Hiring Decisions
THE PROBLEM
Interviewers who don't submit scorecards on time create decision-making bottlenecks, extending time-to-offer and frustrating candidates who are fielding competing offers.
HOW MCP SOLVES IT
Improvado MCP surfaces scorecard completion rates by interviewer and role, letting talent teams follow up proactively before delays escalate.
Which interviewers have outstanding scorecards from this week?
Try asking
"Show ROAS across all 120 accounts"
⚡
Answer in seconds
All data sources, one query
Sourcing Quality Unclear Without Deep Analysis
THE PROBLEM
Understanding which sources produce candidates who pass the technical screen and reach offers requires manual data joining that most teams don't have bandwidth for.
HOW MCP SOLVES IT
Ask one question and get source-to-offer funnel analysis across all channels. Improvado MCP joins Greenhouse sourcing and stage data automatically.
Which sources generate candidates reaching final rounds?
Try asking
"What's my CPL in New York vs. California?"
🔍
Full detail preserved
No data loss on export
Headcount Reporting Consumes Recruiter Time
THE PROBLEM
Weekly recruiting reports require pulling Greenhouse exports, cleaning stage data, and formatting summaries — easily consuming two to three hours of recruiter time.
HOW MCP SOLVES IT
Generate ready-to-share recruiting summaries in seconds. Improvado MCP queries Greenhouse and returns structured results formatted for stakeholder consumption.
Summarize this week's pipeline status by business unit
Try asking
"PMax vs. Search ROAS for Q1?"
⚖️
Unified data model
Compare anything side by side
Agency CEO
Portfolio health. Client risk. Revenue signals.
Media Strategist
70% strategy, not 70% ops. Auto campaign QA.
Marketing Analyst
Zero wrangling. Cross-platform. AI narratives.
Account Manager
QBR decks auto-generated. Call prep in 30s.
Creative Director
Performance-to-brief. Predict winners before spend.
👥 Teams
One Framework. Five Roles. Zero Setup.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
Frequently Asked Questions
What Greenhouse data does Improvado MCP expose?
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Improvado MCP surfaces job postings, candidates, applications, pipeline stages, scorecards, interview kits, offers, hires, and sourcing attribution data from Greenhouse.
Can this integration access custom fields in Greenhouse?
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Yes. Custom candidate and application fields configured in Greenhouse are accessible via Improvado MCP, making it possible to query organization-specific data points.
Does this work with Greenhouse Recruiting and Onboarding?
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Improvado MCP primarily covers Greenhouse Recruiting data. Onboarding data availability depends on API exposure in your Greenhouse account configuration.
How does this handle candidate data privacy?
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All data access runs through your configured Greenhouse API credentials. Improvado MCP respects all Greenhouse permission levels and does not expose data outside your access scope.
Can hiring managers query their own pipeline without recruiter help?
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Yes. With appropriate Improvado permissions, hiring managers can ask their AI agent for live updates on their open roles without involving the recruiting team.
Can I combine Greenhouse data with HRIS or payroll data?
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Yes. Improvado connects multiple HR tools, allowing you to combine Greenhouse recruiting data with HRIS onboarding records or workforce planning data in a single query.
What Greenhouse data does Improvado MCP expose?
Improvado MCP surfaces job postings, candidates, applications, pipeline stages, scorecards, interview kits, offers, hires, and sourcing attribution data from Greenhouse.
Can this integration access custom fields in Greenhouse?
Yes. Custom candidate and application fields configured in Greenhouse are accessible via Improvado MCP, making it possible to query organization-specific data points.
Does this work with Greenhouse Recruiting and Onboarding?
Improvado MCP primarily covers Greenhouse Recruiting data. Onboarding data availability depends on API exposure in your Greenhouse account configuration.
How does this handle candidate data privacy?
All data access runs through your configured Greenhouse API credentials. Improvado MCP respects all Greenhouse permission levels and does not expose data outside your access scope.
Can hiring managers query their own pipeline without recruiter help?
Yes. With appropriate Improvado permissions, hiring managers can ask their AI agent for live updates on their open roles without involving the recruiting team.
Can I combine Greenhouse data with HRIS or payroll data?
Yes. Improvado connects multiple HR tools, allowing you to combine Greenhouse recruiting data with HRIS onboarding records or workforce planning data in a single query.
Stop Reporting. Start Executing.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
SOC 2 Type II
GDPR
500+ Platforms
46K+ Metrics
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