Now Available — Connect Lever + AI

# AI-Power Your Lever in 2 Clicks

MCPEngage connects Lever to any AI model via MCP.
Source candidates, schedule interviews, and track pipelines — all through conversation.

Join Waitlist
View on GitHub
app.mcpengage.com/lever

#### Sarah Chen — Senior Engineer

Applied 2d ago • 8 yrs exp

Top Pick
Tech screen React, AWS

#### James Park — Product Manager

Interview tmrw • 6 yrs exp

Scheduled
Onsite PM role

#### Maria Lopez — Designer

Waiting on feedback • 5 yrs exp

Pending
Portfolio review Figma expert
Scroll to explore
0+
Lever Tools
$0
Setup Cost
0min
Install Time
24/7
AI Hiring
Quick Install

## Up and Running in
One Command

~/projects
Open source — view the full code on GitHub
The Difference

## Before vs. After

### Before MCPEngage

- Resume black hole

  342 candidates across 12 postings, no way to surface the best fits quickly

- Scheduling nightmares

  Email ping-pong with candidates and interviewers just to book one call

- Pipeline blindness

  Which roles are stalled? Who's waiting on feedback? You're clicking through stages manually

- Feedback delays

  Waiting days for interview scorecards, candidates ghosting because you're too slow

### After MCPEngage

- AI candidate matching

  "Find senior engineers with React and AWS experience" — top picks surfaced instantly

- Auto-scheduling

  AI finds open slots, sends calendar invites, and syncs with candidate availability

- Real-time pipeline

  Ask "Which engineering candidates are stuck in tech screen?" — instant answer

- Feedback automation

  AI drafts scorecards, flags blockers, and nudges interviewers for timely reviews

The Problem

## Your Hiring Pipeline Is
Broken

Lever organizes your candidates, but finding top talent and moving them through the pipeline still requires endless manual work.

### Resume Overload

You have 300+ applications for one engineering role. Lever shows you a list. You're manually skimming resumes, one by one, looking for React + AWS. The perfect candidate is in there — buried on page 7.

### Scheduling Hell

Interview coordination is a full-time job. Candidate available Tuesday, interviewer 1 available Wednesday, interviewer 2 out of office. You're playing calendar Tetris in your email, losing top candidates to faster companies.

### Pipeline Stagnation

Candidates stuck in 'Pending Feedback' for 2 weeks. You have no idea who's blocking what. By the time you follow up, they've accepted another offer. Your hiring velocity is glacial.

The Solution

## Three Steps to
AI-Powered Hiring

1

### Connect Your Lever

Paste your Lever API key. MCPEngage discovers all available endpoints and builds 50+ tools automatically. No code, no configuration, no DevOps.

2

### Ask in Plain English

"Find senior engineers with React experience." "Schedule a tech screen for Sarah Chen." "Which candidates are waiting on feedback?" Your AI understands and acts.

3

### Automate Everything

Set up recurring workflows: auto-triage new applications, send interview reminders, flag stalled candidates, and generate weekly pipeline reports — all running 24/7.

Features

## Everything to
Supercharge Lever

50+ Lever tools accessible through one natural-language interface.

### Smart Candidate Search

Search candidates by skills, experience, stage, or tags. "Find all product managers in final round interviews."

### Interview Automation

Schedule interviews, send calendar invites, and manage interview panels. "Schedule a tech screen for Sarah with Alex on Thursday."

### Pipeline Analytics

Track time-to-hire, stage conversion rates, and bottlenecks. "Which roles have the slowest pipeline?"

### Candidate Communication

Send updates, rejection emails, and offer letters with AI-generated personalized content.

### Feedback Intelligence

Analyze interview scorecards, flag concerns, and surface consensus. "Summarize feedback for James Park."

### Recruiter Workload

Track who's interviewing who, balance panel assignments, and optimize recruiter bandwidth across roles.

FAQ

## Common Questions

MCP (Model Context Protocol) is an open standard created by Anthropic that lets AI models securely connect to external tools and data sources. Think of it as a USB port for AI — MCPEngage uses MCP to give your AI real-time read/write access to Lever.
You provide a Lever API key (generated in Settings → Integrations → API Credentials). MCPEngage uses the Lever REST API to create 50+ tools covering candidates, postings, interviews, feedback, and analytics. Your credentials are encrypted and never stored on our servers.
MCPEngage accesses candidate profile data (name, email, experience, tags, stage) available through the Lever API. Full resume document parsing depends on how you've configured Lever's data structure. AI can search and filter based on structured fields.
MCPEngage works with Lever's interview scheduling features. For deeper calendar integrations (Calendly, Google Calendar sync), you can connect those platforms separately via MCPEngage and build cross-platform workflows.
MCPEngage is free during the beta period. After launch, pricing starts at $29/month per platform connection. Enterprise plans with custom integrations and priority support are available on request.
Yes! MCPEngage supports 66+ platforms including Greenhouse, Ashby, LinkedIn, Slack, and many more. Each platform gets its own MCP server with platform-specific tools. Connect as many as you need.

## Start Automating Lever
Today

Join recruiting teams using MCPEngage to hire faster with AI.

### You're on the list!

We'll notify you as soon as MCPEngage for Lever is ready.

Free during beta. No credit card required.