Today, ATTOM announced the public release of its MCP Server and Databricks cloud delivery option, marking a major milestone for how property data will be accessed and used by AI systems across the real estate industry. For WAV Group, this announcement is especially meaningful. In September of 2025, we interviewed Todd Teta, Chief Product and Technology Officer at ATTOM, where he outlined the company’s roadmap toward agent-ready data delivery and MCP-based access. That conversation now serves as a clear preview of what the industry is beginning to see take shape with this release. Todd said it was going to happen and they delivered. Now ATTOM clients have AI superpowers to leverage.
A first-mover moment for proptech data
ATTOM is the first large-scale real estate data licensing company to formally launch MCP access. This is not a minor product update. It represents a structural shift in how AI applications interact with authoritative property data. Instead of relying on brittle API integrations or bulk file transfers, AI systems can now securely query standardized ATTOM datasets directly through an AI-native access layer. ATTOM’s webpage for MCP can be found here.
In our interview, Todd described this direction as a move toward “AI agent-ready data,” positioning ATTOM to serve not just human analysts, but autonomous and semi-autonomous AI agents. That vision is now operational.
The newly released MCP Server allows AI assistants, underwriting tools, research copilots, and automated workflows to retrieve structured ATTOM property data, including AVMs, comparable sales, transaction history, and parcel-level attributes, in a governed and auditable way. This architecture supports emerging agentic AI use cases where systems dynamically discover and consume data as part of multi-step decision workflows that can be built on top of this infrastructure by ATTOM data customers.
Data quality still matters more than ever
One of the most important themes from our conversation with Todd was the role of data quality as the foundation of effective AI. He emphasized that while scraped or loosely aggregated datasets are becoming easier to collect, they introduce accuracy and trust risks for brokers and enterprises.
ATTOM’s approach remains parcel-centric, anchored by its ATTOM ID and reinforced through multi-stage quality controls and machine learning-driven anomaly detection. As AI adoption accelerates, this normalization and validation layer becomes even more critical. AI systems are only as reliable as the data they consume.
MCP and A2A reshape software integration
Todd also shared his perspective that MCP and emerging Agent-to-Agent (A2A) standards will fundamentally change how SaaS platforms integrate with external data providers. Instead of building dozens of custom integrations, software platforms will increasingly register MCP servers directly and allow AI agents to pull structured data on demand.
This shift matters for brokerages, MLSs, and vendors alike. MCP reduces integration friction, lowers technical barriers, and enables real-time, usage-based data consumption models. It also supports a future where AI becomes embedded inside transaction management systems, CRMs, analytics platforms, and operational tools without duplicating massive data pipelines.
The pace of change is accelerating
Todd was clear that the current AI cycle is moving faster than any previous technology wave, including cloud adoption. What once took seven years to mainstream may now compress into two. This creates urgency for brokerage leaders, MLS executives, and technology providers to modernize data access strategies now, not later. When we interviewed Todd in September, they had only taken the step of moving data into an MCP sandbox. Now they are in production. Impressive accomplishment!
Organizations that continue to rely on static file transfers and legacy APIs will struggle to keep pace with AI-native competitors who can deploy agent-driven workflows at scale.
Why this matters to WAV Group and Fluente
WAV Group has long helped brokerages, MLSs, and technology companies license, govern, and operationalize real estate data. ATTOM already supports many WAV Group clients today across brokerage, mortgage, insurance, and analytics use cases.
As Fluente, WAV Group’s AI division, accelerates AI development programs for brokers and MLSs, integration with ATTOM’s MCP Server represents a timely opportunity. We expect MCP-based data connectivity to become a core building block for production-grade AI deployments by year end. For real estate, coupling ATTOM’s MCP with an MLS MCP would allow impressive leverage for a lot of the work created by agents for clients today.
This launch reinforces a broader industry trend WAV Group has been tracking: the shift toward digital sovereignty. Brokerages that want to own their AI strategy must control how data flows into their systems, how it is governed, and how it is consumed by agents and applications. MCP servers enable that control layer. With ATTOM MCP, there is no need for data transport, organization, and synchronized hosting. Just connect and you are AI ready. I believe that proptech data provider Precisely is on the cusp of their MCP release too.
What comes next
ATTOM’s MCP Server launch is not the finish line. It is the starting point for a new generation of AI-native real estate infrastructure. As more MLSs, brokerages, and vendors adopt MCP standards, the industry will move away from fragile integration stacks and toward interoperable, secure, real-time data access.
For technology leaders watching this space, today’s announcement is a clear signal. The future of real estate data is no longer just cloud-based – it is AI-native.
WAV Group will continue monitoring industry partners like ATTOM to help organizations navigate this transition, design MCP-first architectures, and deploy AI solutions that are scalable, compliant, and built on trusted data foundations.
