ATS Scanner Server

An MCP (Model Context Protocol) server that automates ATS resume scanning through Jobscan. Connect it to Claude (or any MCP-compatible AI assistant) and let it scan, analyze gaps, optimize, and rescan your resume against any job description automatically.

What It Does

Instead of manually copying your resume and job description into an ATS scanner, reading the gaps, editing, and rescanning over and over, this server lets Claude do the entire loop:

1. Scan your resume against a job description
2. Read the gaps (missing hard skills, soft skills, keyword matches)
3. Edit the resume to close those gaps
4. Rescan to verify the score improved
5. Repeat until the match rate hits your target (e.g., 90%+)

All in one conversation. No tab switching. No manual copy-paste.

Tools Exposed

Tool	Description
jobscan_login	Authenticate with Jobscan. Auto-runs on first scan if not called explicitly.
jobscan_scan	Scan a resume against a job description. Returns match rate, found/missing skills.
jobscan_rescan	Rescan with an updated resume (JD already loaded from previous scan). Faster than a full scan.
jobscan_get_gaps	Get a focused list of missing keywords from the most recent scan.
jobscan_raw_results	Get the full raw scan results as JSON for detailed analysis.

Prerequisites

• Node.js 18+
• A Jobscan account (free or paid)
• Chrome/Chromium installed (Playwright uses it in headed mode for Cloudflare bypass)

Setup

1. Clone the repo:

   git clone https://github.com/jhansy29/ats-scanner-mcp.git
   cd ats-scanner-mcp
   

2. Install dependencies:

   npm install
   npx playwright install chromium
   

3. Create your .env file:

   cp .env.example .env
   

   Then edit .env with your Jobscan credentials:

   [email protected]
   JOBSCAN_PASSWORD=your-password
   

4. Build:

   npm run build
   

Connect to Claude

Add this to your Claude MCP config (e.g., claude_desktop_config.json or .claude/settings.json):

{
  "mcpServers": {
    "ats-scanner": {
      "command": "node",
      "args": ["path/to/ats-scanner-mcp/dist/index.js"]
    }
  }
}

Usage

Once connected, just tell Claude:

"Here's my resume and the job description. Scan it, find the gaps, update the resume, and rescan until it's above 90%."

Claude will call the MCP tools in sequence to handle the full optimization loop.

Important: Build a Knowledge Base First

This works best when the AI has access to a knowledge base of your real experiences, projects, and bullet variants. Without it, the AI is guessing when it edits. With it, every optimization is grounded in work you actually did. No fabrication, just better keyword alignment.

How It Works

• Uses Playwright to automate a real Chrome browser session with your Jobscan credentials
• Launches Chrome in headed mode to handle Cloudflare verification
• Parses scan results (match rate, hard/soft skill gaps, searchability, recruiter tips) and returns structured data to the AI
• The rescan tool reuses the existing session so the JD stays loaded, making iterations fast

Tech Stack

• TypeScript
• Model Context Protocol SDK
• Playwright
• Zod for input validation

License

MIT