Put an AI employee to work in MLS.

What an AI employee can do in MLS

• Your listing agent answers buyer questions from the listing details, around the clock.
• It alerts each buyer when a new listing matches what they told you.
• It records showings and feedback against the listing.

An example in MLS

A small brokerage keeps buyer searches in the CRM. When a Listing comes on the MLS that matches a buyer's price range and area, the agent texts that buyer with the highlights and photos from the Media, and asks if they want to see it. It notices a Status change to pending on a home another buyer liked and tells them before they hear it elsewhere. Questions about the home are answered from the listing details. The matches sent, the buyer's replies and any showing requests are recorded on each buyer in the CRM.

What stays with your people

Your agents give pricing opinions, write offers and follow the MLS rules your board sets.

The connection

How it connects

Over MLS's web API (HTTPS), or an MCP server where one exists. Its key is stored as a secret, scoped to the job, and never written into the AI employee's instructions. Set it up yourself in the Studio, or have us do it.

What it reads and writes in MLS

Listing, Status change, Open house, Media, Member.

Approval level

Off, suggest, draft or autonomous, granted by you task by task. Outbound texts and deletions never pass draft.

On the record

Every call it makes to MLS is logged with what it did and when, so a person can pick up where it left off.

Industries that often run MLS

Questions about MLS

Does the agent follow our MLS data rules?

It is built to use MLS data the way your board and brokerage allow, and to share only what you are permitted to share.

Can it enter or edit listings?

No. Listing input stays with your agents. The agent reads listings to answer buyers and send matches.

Which MLS does it work with?

AgentWorks builds the agent around the MLS and data feed your brokerage already has access to.