HomeStack launches MCP to connect branded real estate apps with AI assistants

HomeStack rolled out HomeStack MCP, a new connection that lets agents query client activity inside branded apps through ChatGPT, Claude, Grok and other compatible AI tools. The company says the feature can help agents turn buyer behavior into saved searches, follow-ups and push notifications with less manual work.

Why it matters: - HomeStack MCP gives real estate agents a way to turn first-party app activity into faster follow-up and more personalized outreach. - The feature is designed to help agents act on client behavior inside AI assistants they already use, instead of digging through app data manually. - HomeStack says the goal is to move agents closer to the deal by making follow-up more immediate and more relevant.

What happened: - HomeStack announced HomeStack MCP on November 11, 2026. - The new connection links ChatGPT, Claude, Grok and other compatible AI assistants to data inside an agent’s branded HomeStack app. - The platform is built on Model Context Protocol, an open standard for connecting AI assistants to outside tools and platforms. - HomeStack said the release expands its AI lineup.

The details: - Agents can ask questions such as which clients have been most engaged in a given week and get answers based on real client activity. - HomeStack MCP can help build saved searches, create property collections and add notes on why homes may fit a client. - The system can also help agents find a client in Follow Up Boss, create a new user account and assign a tailored search. - Client activity signals include homes viewed, properties saved, neighborhoods explored and searches created. - Collections are shared through HomeStack’s existing workflow and push notifications, with agent review and confirmation where required. - HomeStack already lets agents send custom push notifications to clients using branded apps. - With MCP, an agent can ask an AI assistant to suggest push alerts based on client behavior, such as a price drop on saved homes or an open house reminder. - Agents can also ask AI to scan local happenings, such as a restaurant opening or community event, and turn that into a neighborhood push notification. - Once the agent approves, the AI tells HomeStack to send the push. - HomeStack said the system can work alongside CRMs, transaction management platforms and productivity tools that also have MCP connectors. - A single conversation can pull a lead from a CRM, set up a branded app search and draft a follow-up email. - HomeStack said its clients already use branded apps to stay connected with buyers beyond the first download. - The company also highlighted two existing AI tools in its lineup: Super Listings and AI Social Graphics. - HomeStack said Super Listings turns listing photos into a cinematic fly-through video in about five minutes. - HomeStack said Super Listings see 40% higher engagement than standard listings. - HomeStack serves more than 1,000 clients and covers MLS data across the U.S., Canada and Mexico. - The company says those clients serve hundreds of thousands of agents and millions of consumers. - Read more details on the HomeStack blog.

Between the lines: - HomeStack is positioning MCP as more than a search tool. The company wants AI to take on action steps, not just surface information. - The pitch fits a broader shift in real estate tech toward automating agent follow-up around buyer intent signals. - The workflow also reinforces the value of first-party data inside branded apps, where HomeStack can connect behavior to action without relying on outside platforms.

What's next: - Agents using HomeStack MCP will be able to test how far AI can go inside daily prospecting and client follow-up workflows. - The bigger opportunity is cross-platform automation, where a CRM, a branded app and an AI assistant work together in one conversation. - HomeStack says the feature is part of a broader push to expand what its AI tools can do for agents and brokerages.

The bottom line: - HomeStack is betting that real estate agents want AI that can do the follow-up work, not just explain how to do it.