ATTOM announced two new offerings on its technology platform.
The company is launching the ATTOM MCP Server, a new AI-native access and integration layer that securely connects AI (artificial intelligence) applications to ATTOM property data, along with offering Databricks delivery, a cloud-based data delivery option built on Databricks Delta Sharing.
“These launches reflect how our customers are building and innovating today,” Todd Teta, chief product and technology officer at ATTOM, said in a release. “AI teams need a reliable way to bring structured property data directly into their models and applications, while analytics teams want seamless access inside the platforms they already use. By delivering both, we are reducing friction, expanding how ATTOM data is used, and strengthening the foundation of our technology platform.”
These offerings reflect ATTOM’s continued focus on differentiation, diversification, and expanding its competitive moat by enabling new ways for customers to access, analyze, and operationalize property data across analytics and AI-driven workflows.
The ATTOM MCP Server is a centralized AI-native access and integration layer built on the Model Context Protocol (MCP). It allows large language models (LLMs) and AI systems to securely retrieve structured ATTOM property data in a standardized and governed way.
This architecture supports emerging agentic AI use cases, where AI systems and agents can autonomously discover, retrieve, and use structured property data as part of multi-step workflows.
Through LLM ready tools exposed by the MCP Server, applications and AI agents can access property details, AVMs, comparable sales, and sales history as part of automated or multi-step workflows. The MCP Server is designed for enterprise production environments and supports use cases such as AI assistants, automated underwriting and due diligence, internal copilots, and research tools, while maintaining centralized authentication, permissions, logging, and usage monitoring.
By standardizing how AI systems interact with property data, the MCP Server extends ATTOM’s platform into emerging AI-driven use cases without changing the underlying data customers rely on.
In addition to the MCP Server, ATTOM announced Databricks delivery, a cloud-based data delivery option that provides access to curated ATTOM property datasets inside a customer’s Databricks workspace using Delta Sharing.
Databricks delivery removes the need for file transfers, ingestion pipelines, or ETL processes, allowing teams to begin querying data immediately once access is granted. ATTOM manages data updates, maintenance, and quality, ensuring customers work with current, query-ready datasets.
Access is governed through Databricks enterprise security controls, while customers can scale analytics, machine learning, and business intelligence workloads using their existing Databricks compute resources. This delivery option is designed for organizations already using Databricks, teams looking to minimize data movement, and use cases where speed, scalability, and data freshness are essential.