The Challenge
Business Problem
Recruiters spend 70% of their time screening unqualified candidates. Resume review is subjective and inconsistent, leading to missed talent and biased hiring decisions.
The Approach
Solution Overview
Connect Greenhouse MCP Server with Google Calendar and Slack to automatically screen applications, rank candidates by fit, and schedule interviews for top matches.
Step-by-Step
Implementation Steps
1
Define Job Criteria
For each open role, define required skills, experience levels, and nice-to-have qualifications.
2
Screen Applications
Automatically parse resumes and match against job criteria to produce a fit score.
3
Rank and Shortlist
Rank candidates by fit score and automatically move top candidates to the next stage.
async function screenCandidate(application) {
const score = calculateFitScore(application.resume, application.job.criteria);
await greenhouse.updateCandidate({
id: application.candidateId,
custom_fields: { fit_score: score }
});
if (score > 80) {
await greenhouse.advanceCandidate({ id: application.candidateId, stage: 'Phone Screen' });
await slack.sendMessage({ channel: '#recruiting', text: `Strong candidate: ${application.name} (${score}% fit)` });
}
}4
Auto-Schedule Interviews
For shortlisted candidates, find available times and send calendar invites.
Code
Code Examples
typescript
Fit Score Calculator
function calculateFitScore(resume, criteria) {
let score = 0;
for (const req of criteria.required) {
if (resume.skills.includes(req)) score += 20;
}
for (const nice of criteria.niceToHave) {
if (resume.skills.includes(nice)) score += 5;
}
score += Math.min(resume.yearsExperience * 5, 30);
return Math.min(score, 100);
}Overview
ComplexityMedium
Estimated Time~10 hours
Tools Used
Greenhouse MCP ServerGoogle Calendar MCP ServerSlack MCP Server
Industry
All IndustriesTechnologyHR
ROI Metrics
Time Saved25 hours/week per recruiter
Cost Reduction50% faster time-to-hire
Efficiency Gain3x more candidates screened