trackly-cli

The only job tracking CLI built for AI agents.

Search 170,000+ jobs across 3,800+ companies and 40+ ATS types. Track applications, get AI-powered recommendations, and manage your job search -- from the terminal or through Claude, ChatGPT, Cursor, and other MCP-compatible AI agents.

Two ways to connect

🚀 Option 1: One-click in Claude co-work, Claude Desktop, ChatGPT (no install)

Use Trackly directly inside your AI — zero config:

1. Open Settings → Connectors → Add custom connector
2. URL: https://mcp.usetrackly.app/api/mcp
3. Click Add → sign in with Google → done

Full setup guide with screenshots →

Works in: Claude co-work (web), Claude Desktop, ChatGPT Connectors, and any MCP client that supports remote/streamable-http connectors.

💻 Option 2: CLI install (for Cursor, Windsurf, or terminal use)

npm install -g trackly-cli    # may need: sudo npm install -g trackly-cli
trackly login
trackly jobs --function product

Prerequisites: Node.js 20.20+ or 22.22+ (LTS recommended). On macOS with the official .pkg installer, global npm installs may require sudo.

At a Glance

3,800+ companies | 170K+ jobs | 40+ ATS types | CLI + MCP | 58 local MCP tools

CLI Commands

trackly jobs                          # List jobs
trackly jobs --remote                 # Filter remote jobs (sets usStates=REMOTE)
trackly jobs --region us              # Filter by region (us, non_us, all, or a region tag: europe, canada, remote, ...)
trackly jobs --job-type internship    # Filter by employment type (full_time, internship, all)
trackly jobs --work-arrangement hybrid,remote  # Filter by work arrangement independently
trackly jobs --function product       # Filter by function
trackly jobs --sponsorship exclude_no # Visa sponsorship filter (all, exclude_no, only_yes)
trackly jobs --company 243            # Filter by company ID
trackly job 1234                      # Get job details
trackly jobs 1234                     # Alias for job details
trackly companies                     # List companies
trackly companies search "fintech"    # Semantic company search
trackly search "fintech"              # Alias for semantic company search
trackly stats                         # Show metrics
trackly status                        # Alias for stats
trackly preferences                   # Show discovery preferences and experience limits
trackly preferences experience product=2 strategy=5  # Replace role-specific limits
trackly preferences experience clear # Turn role-specific experience filtering off
trackly apply 1234                    # Mark as applied
trackly save 1234                     # Save a job
trackly dismiss 1234                  # Dismiss a job
trackly ask "PM jobs in SF"           # Natural language search (20/day)
trackly contacts "Stripe"             # Search contacts at a company
trackly brief 1234                    # Get network brief for a job
trackly referral start 1234           # Start a referral campaign
trackly referral status 1234          # Check referral campaign status
trackly company-brief 243             # Get company brief (--refresh to regenerate)
trackly company-workspace 243         # Full company workspace view
trackly request-company "eBay"        # Request a company be added (--url, --notes optional)
trackly api-key create                # Generate API key
trackly api-key list                  # List API keys
trackly config                        # Show current CLI config
trackly config --api-key trk_xxx      # Save an API key for future commands
trackly version                       # Show installed version
trackly whoami                        # Show current user
trackly logout                        # Clear credentials
trackly agent setup --client both    # Install Trackly Apply for Codex + Claude Code
trackly agent doctor                 # Verify setup, profile, resume, and compatibility
trackly agent diagnose-path /path/to/upload.pdf --errno ENOSPC --json  # Diagnose one exact local path

Add --json to any command for JSON output. Use --api-key <key> or --base-url <url> as one-off global flags when needed.

trackly preferences --json returns only success, experienceFilterV2Available, and preferences. The availability flag controls whether this client may edit role-specific limits; it does not claim that feed or alert enforcement is active. Every update checks that flag and the latest preference revision before writing.

MCP Server Setup

Hosted (Claude co-work, Claude Desktop, ChatGPT)

No install. In your AI tool, open Settings → Connectors → Add custom connector and enter:

https://mcp.usetrackly.app/api/mcp

Sign in with Google when prompted. Full visual guide →

Local (CLI via stdio, for Cursor / Windsurf / Claude Code)

For agent-assisted form filling on macOS, install the public skill and local MCP together:

trackly agent setup --client codex    # or claude / both
trackly agent doctor

The skill uses the profile and default resume in your Trackly account, asks only missing questions, fills user-approved saved jobs, and always stops before Submit. “Fill the next N” continues through the original recent-first Check Later snapshot until N unauthenticated forms are durably ready for your manual review; authentication walls and exclusions are reported separately and do not consume the target. An explicit “inspect the next N records” request still uses one fixed immutable batch. Support is fetched from Trackly at the start of every run: Greenhouse is full, Ashby and Lever are best effort, and 27 additional named ATS/provider classes use constrained guided mode. Employer-hosted unknown forms run only when Trackly binds them to a verified company domain. LinkedIn-hosted forms and unverified origins remain manual-only; a separately stored external application URL is evaluated under its own ATS and origin policy.

Guided mode is deliberately fail-closed. The agent stops on credential entry, OTP/email verification, CAPTCHA/human verification, an unexpected employer or origin, a submit-only transition, or any field whose committed state cannot be observed. trackly agent doctor checks the local skill, MCP registration, protocol compatibility, declared browser/computer-use configuration, profile completeness, and default-resume metadata. Live semantic browser capability and the exact resume bytes are verified at the start of a real run.

Claude Code one-liner

claude mcp add --scope user trackly -- trackly mcp

Or equivalently:

claude mcp add-json --scope user trackly '{"command":"trackly","args":["mcp"]}'

Claude Code manual config

Add to ~/.claude/settings.json:

{
  "mcpServers": {
    "trackly": {
      "command": "trackly",
      "args": ["mcp"]
    }
  }
}

Cursor / Windsurf

Add to .cursor/mcp.json or ~/.cursor/mcp.json (same schema works for Windsurf):

{
  "mcpServers": {
    "trackly": {
      "command": "trackly",
      "args": ["mcp"]
    }
  }
}

Then use natural language in any of these clients:

• "Find me PM jobs at fintech companies"
• "What remote engineering roles are available?"
• "Mark job 1234 as applied"

MCP Tools Reference