Moka HR MCP. Manage your entire hiring pipeline from a single chat.

Listen up. You got a whole ATS sitting there, right? The Moka HR MCP Server hooks your AI client directly into that data stream so you don't gotta mess around with the clunky dashboard. Your agent handles the messy parts of hiring—managing candidates, tracking jobs, and sorting out interviews—just from plain conversation.

It's like having a real talent assistant sitting right in your chat window.

Job Discovery & Requirements: When you need to know what roles are open or what a specific job actually demands, your agent handles it fast. You can list all open job positions, getting a rundown of every role currently active at the company using list_jobs. If you wanna dive deep into one of those openings, you just ask for the requirements and status on a particular post, and the agent uses get_job to pull everything right up.

It gives you the full specs so you know exactly what they're looking for.

Managing Applications & Candidates: This is where most people get lost in paperwork. Your agent makes it easy. If you gotta see every application that’s come through—regardless of which department or role it’s for—you can list all recorded job applications using list_applications. And if you need the full scoop on any single applicant, whether they applied to a job last week or two years ago, your agent pulls their complete profile and entire history with one command, running get_candidate.

Need to add someone manually? You can create a new candidate record straight into the system using create_candidate. If you wanna check out the nitty-gritty details of a specific job application—linking it back to both the person and the role it applies to—you use get_application to retrieve all those specifics.

And if you're just trying to find an applicant by name or ID, the agent can pull up their full profile using get_candidate, making sure every single detail is visible.

Interview & Interview Tracking: Don’t wanna miss a meeting time or forget what was discussed? Your agent handles the scheduling headache. You can list all upcoming and past interviews, getting dates, times, and who's involved by running list_interviews. If you need to review notes from a specific session—like pulling out feedback or action items from last Tuesday’s chat—the agent uses get_interview to fetch those precise details and any accompanying notes.

It gives you the whole picture for every single scheduled talk.

Metrics & Reporting: You don't wanna sift through thousands of rows of data just to figure out if your hiring funnel is working, right? Your agent pulls it all together for you. You can generate high-level metrics on recruitment activity, getting an aggregated report that shows total applications received this month or conversion rates across the board using get_hiring_summary.

This gives you a macro view of the whole pipeline without needing to build a complicated dashboard filter.

The Bottom Line: Basically, your agent handles every single piece of data—from listing all open roles (list_jobs) and checking which candidates are in play (list_candidates) to pulling detailed notes from an interview (get_interview). You talk to it like you're talking to a coworker, and it pulls the exact, structured data point you need, period.