What is agentic recruiting?

Agentic recruiting means using AI agents to carry out parts of your recruiting work — turning a hiring brief into candidate searches, screening results, comparing profiles, and building shortlists — while you keep the decisions: who to contact, who to invite, and who to hire. If you recruit tech talent with Get on Board, this is the model behind the Get on Board MCP Server, which lets your agent search Talent Database on your behalf.

The difference from earlier “AI in recruiting” is agency. A matching algorithm scores candidates inside one product; an agent works across steps. You give it a goal (“find senior React developers in Colombia with English B2 and fintech experience”), and it plans the searches, runs them, evaluates what comes back, refines its criteria, and reports a shortlist with reasoning you can check.

Three ways companies do agentic recruiting today

Not all agentic recruiting works the same way. Three models dominate, and they differ in who controls the agent and where the data comes from.

1. Closed vendor agents. Some platforms ship their own proprietary agent that sources and screens inside their walled garden. You get convenience, but you cannot inspect how it reasons, swap it for a better model, or point it at data outside that vendor.

2. DIY enrichment chains. Other teams wire an agent to a stack of scraping and enrichment services — typically Apollo, Lusha, or ZoomInfo — to harvest profiles and guess contact data. This is flexible but fragile: scraped emails bounce, the people in those databases never agreed to be contacted, you maintain several paid subscriptions to keep the chain alive, and every candidate the agent evaluates bills model tokens on your account.

3. Open-protocol access to a real marketplace. The third model connects the agent you already use — in Claude, ChatGPT, Codex, or Cursor — to a talent marketplace through an open standard like MCP (Model Context Protocol). The agent is yours; the data belongs to a pool of professionals who opted in to be found. This is the model Get on Board supports.

How agentic recruiting works on Get on Board

Get on Board exposes its Talent Database — tech professionals across Latin America who chose to be visible to companies — through an MCP server for recruiter team members. You connect by pasting https://www.getonbrd.com/mcp into a compatible client and signing in with OAuth; no API keys or manual tokens.

Once connected, your agent can:

• Search Talent Database from a natural-language brief.
• Read a candidate’s professional summary, trajectory, skills, and tags.
• List your company’s active jobs and read a job’s description and questionnaire, so it can source for a role you already published without a rewritten brief.
• Compare results and build a reasoned shortlist.

The agent’s access is read-only, and it never sees contact data: no emails, phone numbers, CV files, or social links come back through MCP. When your shortlist is ready, you open the profiles in Get on Board, unlock contact information with your Talent Database credits, and send invitations yourself. The professionals own their data; your agent only reads what they agreed to show.

What stays in your hands

Agentic recruiting works when the agent handles volume and you handle judgment. On Get on Board, the actions that affect people — unlocking contacts, inviting candidates to a process, messaging, moving applicants through stages — happen in the web app, done by you. That split is deliberate: it keeps candidates dealing with accountable humans, and it keeps your team’s hiring record in one system.

If you want to try it, start with the agentic recruitment workflow guide or connect a client directly with the setup guides for Claude Code, ChatGPT, Codex, or Cursor.

Related articles

• How can I use Get on Board for agentic recruitment?
• What is the Get on Board MCP Server?
• What is Talent Database?
• Tools to reach tech candidates in Latin America: enrichment, scraping, or marketplace?