naukri-mcp

A local MCP server for your own Naukri.com account: search jobs, view job details, save/apply to jobs, check applied jobs, read your profile, and read recruiter messages. Modeled on the same pattern as your existing LinkedIn MCP server (~/.linkedin-mcp): a patchright-driven stealth Chromium browser with a persistent profile under ~/.naukri-mcp, so you log in once by hand and every tool call afterward reuses that session.

Before you install: read this

• This automates your personal Naukri account from your own machine. It's the same idea as your LinkedIn setup, not something new in kind.

• Naukri's Terms of Service, like most job sites, restrict automated / bot access to accounts. Using this is a judgment call you're making about your own account, same as you already made for LinkedIn. Keep call volume reasonable (don't loop search_jobs in a tight loop, don't mass -apply) to avoid tripping anti-bot defenses or a manual account review.

• This never sees or handles your password. naukri_login opens a real, visible Chrome window and you log in (including any OTP) yourself; the tool only watches for the session cookie that appears afterward.

• v1 caveat: the DOM selectors in extract.py are my best current read of naukri.com's markup, not something I could verify against a live, logged-in session (I don't have your credentials and can't run this from the cloud without looking like a bot). Some tools may need small selector fixes after your first real run — that's expected, and I can fix them fast once you tell me what came back oddly.

Related MCP server: Naukri MCP Server

1. Install (run this yourself — needs your machine's network)

cd ~/naukri-mcp   # wherever you put this folder
python3 -m venv .venv
source .venv/bin/activate
pip install -e .
python3 -m patchright install chromium

I can't run pip install or the browser download for you — my remote shell has no network access to your machine, only to my own cloud sandbox (which is where I could syntax-check the code but not install patchright, since even my sandbox doesn't have it allowlisted). This one step is on you, same as it would've been for the original LinkedIn install.

2. Register it with Claude Desktop

Open (or create) ~/Library/Application Support/Claude/claude_desktop_config.json and add an entry under mcpServers — alongside whatever entry is already there for linkedin:

{
  "mcpServers": {
    "naukri": {
      "command": "/absolute/path/to/naukri-mcp/.venv/bin/naukri-mcp",
      "args": []
    }
  }
}

Use the absolute path to the naukri-mcp script inside the virtualenv you just created (which naukri-mcp after activating .venv will print it). Restart Claude Desktop afterward so it picks up the new server.

If you tell me the exact shape of your existing "linkedin" entry (I couldn't read that file myself — it's outside the folders I'm allowed to access), I'll match its style exactly instead of guessing the format above.

3. First login

From this chat (once the naukri tools show up), call:

naukri_login

A real Chrome window opens on your Mac at naukri.com's login page. Log in normally. The tool polls for up to 5 minutes and saves your session to ~/.naukri-mcp/cookies.json and the persistent profile once it detects you're in. After that, naukri_session_status will report logged_in: true and every other tool runs headless.

Tool list

Naukri doesn't have a real equivalent of LinkedIn's social graph (feed, connections, company employee lists), so those didn't carry over 1:1 — apply_to_job / get_applied_jobs / save_job / get_saved_jobs replace them with Naukri's actual core value (the job pipeline itself).

If something breaks on first run

Send me whatever the tool returned (most tools include a raw_text or note field precisely for this) and I'll adjust the selectors in extract.py, tools_jobs.py, tools_messages.py, etc. to match.