ATTOM™ MCP Server: Powering AI-Driven Property Intelligence
AI-Native. Secure. Agent-Ready.Secure, AI-Native Access to Trusted Property Intelligence
The ATTOM MCP Server gives AI agents, applications, and enterprise systems direct access to ATTOM's trusted property data, enabling organizations to build AI-powered experiences faster.
From natural language property lookups to enterprise AI workflows, the MCP Server helps organizations put property intelligence to work across their business.
What Is the ATTOM MCP Server?
The ATTOM MCP Server is a centralized AI-native access and integration layer that allows large language models (LLMs) and AI systems to securely retrieve ATTOM property data in a standardized, governed way.
As the foundation of ATTOM Intelligence, the MCP Server helps organizations connect AI applications and enterprise workflows directly to ATTOM's trusted property intelligence.
How Can You Use the ATTOM MCP Server?
The ATTOM MCP Server enables a wide range of AI-driven applications by allowing AI systems to securely interact with ATTOM property data in real time.
AI Assistants & Property Research Tools
Enable AI assistants and chat interfaces to answer property questions using ATTOM's trusted property data. AI applications can deliver grounded, property-specific answers through natural language experiences.
Agentic Workflows & Insights
Power intelligent automation for due diligence, underwriting summaries, property reports, lead enrichment and qualification, and other data-driven workflows.
Enterprise AI Integrations
Bring ATTOM's trusted property intelligence into enterprise applications, supporting everything from automated workflows to natural language experiences..
Developer Productivity
Reduce development and maintenance effort by eliminating the need for custom API orchestration. The MCP Server handles AI-specific integration and governance.
Key Benefits
AI-Native Access to Trusted Property Data
The MCP Server is designed specifically for large language models, enabling AI systems to retrieve structured property data through a standardized protocol.
Faster Time to Market
Accelerate development with a single connection to ATTOM's trusted property dataset. Reduce custom integrations and bring AI-powered property experiences to market faster.
Built for Modern AI Workflows
Designed for today's AI ecosystem, the ATTOM MCP Server supports AI applications, agentic workflows, and enterprise systems that need property data as a runtime input—not a report to read.
Secure and Governed Access
All AI access flows through a centrally managed MCP Server with authentication, permissions, logging, and usage monitoring.
Future-Ready Architecture
Built on the Model Context Protocol, the MCP Server works across AI providers that support MCP, including OpenAI, Anthropic, and Google.
How the ATTOM MCP Server Works
The ATTOM MCP Server acts as a real-time bridge between AI Apps and ATTOM property data, using the Model Context Protocol (MCP). It enables large language models and agentic AI workflows to securely access structured property data through standardized, governed interactions.
AI Systems Connect via MCP
Large language models connect to the ATTOM MCP Server using the Model Context Protocol instead of directly calling APIs.
LLM-Ready Tools Access ATTOM Data
The MCP Server exposes schema-aware tools mapped to ATTOM’s data, such as property details, AVMs, comps, and sales history.
Structured Results Returned to AI
Data is packaged in an LLM-optimized format, helping improve accuracy and consistency in AI-driven applications.
Free
Webinar
Powering Property Intelligence: Inside the ATTOM API & MCP Server
Join us as VP of Product Management, Sean Mooney, takes you through ATTOM’s modern approach to property data access. Learn how to leverage both direct integration through our industry-leading API and AI-native access through our MCP Server — giving you flexible, future-ready ways to work with ATTOM’s most comprehensive real estate datasets.
During this webinar, we will cover:
- How ATTOM’s API enables scalable, direct data delivery
- How the MCP Server introduces AI-native access for modern workflows
- How both can work together to support different integration approaches