Lofty Launched New MCP Server for AI Tools

Phoenix-based Lofty has released a new server to help brokerages integrate AI agents and proprietary data directly into their workflows.

Updated on Sept. 28, 2026 in Commercial

Isometric editorial illustration of stacked metallic data modules with a central transmission node, representing software infrastructure integration. — Lofty Inc. has launched a new server tool designed to help real estate brokerages integrate AI agents and internal data into their existing workflows. AI Illustration. Upload story photo >

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Lofty Inc. has launched the Lofty MCP Server, a new tool designed to connect artificial intelligence agents and internal business data to the company's platform. This integration aims to streamline operations for brokerages without the need for custom coding.

Why it matters

Brokerages are increasingly looking to bridge the gap between their proprietary data and AI-driven workflows to boost productivity. This tool simplifies those connections, potentially allowing teams to better analyze business performance and client engagement.

The new server facilitates AI integration using the Model Context Protocol, a standardized framework for data exchange. The platform now supports advanced workflows, including 30-day windows for analyzing lead buying intent.

The players

Lofty Inc.

A Phoenix-based real estate platform provider that specializes in lead management and AI-driven workflow tools for brokerages.

The details

The Lofty MCP Server functions by providing a standardized bridge between AI clients and brokerage systems. By using the Model Context Protocol, the server enables brokerages to hook their internal data and custom AI agents directly into the Lofty platform. This eliminates the need for manual, custom-coded integrations while maintaining authentication controls for secure business operations.

The Lofty MCP Server was released on September 28, 2026.

The Home Front

The industry is shifting toward standardized AI protocols to reduce the complexity of integrating diverse software suites. This development mirrors the broader trend of real estate firms seeking unified data ecosystems to manage complex client life cycles more effectively.

Brokerage managers should evaluate whether their existing AI tools support the Model Context Protocol to take advantage of this integration. Review your current lead management software and consult with your IT lead to determine if this update improves your team's workflow efficiency.

The takeaway

The transition to standardized AI protocols can significantly reduce the technical burden of maintaining separate data and automation systems. Brokerage teams should look to centralize their lead management tools to improve the accuracy of their 30-day intent analysis.