ATTOM Introduces MCP Server and Expands Its Cloud Data Delivery through Databricks

ATTOM announced two new offerings that further advance its technology platform and long-term growth strategy. 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,” said Todd Teta, Chief Product and Technology Officer at ATTOM. “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.”

The ATTOM MCP Server is a centralised AI-native access and integration layer built on the Model Context Protocol (MCP). It enables large language models (LLMs) and AI systems to securely retrieve structured ATTOM property data in a standardised, governed manner.

In addition to the MCP Server, ATTOM announced Databricks delivery, a cloud-based data delivery option that provides access to curated ATTOM property datasets directly 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 ongoing data updates, maintenance, and quality, ensuring customers work with current, query-ready datasets.

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