How the ATTOM™ MCP Server Works
How the MCP Server Connects AI to ATTOM Data
The ATTOM MCP Server enables agentic AI systems to securely access and interact with ATTOM property data using the Model Context Protocol (MCP).
It acts as a real-time integration layer between large language models (LLMs) and ATTOM’s comprehensive, nationwide property data, providing a standardized, governed way for AI applications to retrieve structured property data, without custom orchestration or middleware.
How It Works
AI Systems Connect Using MCP
AI applications and large language models connect to ATTOM through the MCP Server using the Model Context Protocol.
Rather than relying on traditional integrations, AI systems interact through MCP using a standardized interface designed for agentic workflows.
What this enables:
- AI-native integration
- Consistent, standardized access patterns
- Compatibility with AI providers that support MCP
LLM-Ready Tools Access ATTOM Data
Each MCP tool is purpose-built to deliver specific types of ATTOM property data in a format AI agents can use reliably.
Available tools include access to:
- Property details
- Automated Valuation Models (AVMs)
- Comparable sales (comps)
- Sales history
Trusted Results Returned to AI Applications
MCP completes the request by returning property data to the AI system through a controlled, end-to-end flow.
Access is governed, permissioned, and centrally managed to ensure information is delivered safely and consistently across every request.
This allows AI systems to:
- Reason accurately over property data
- Generate summaries and insights
- Power assistants, workflows, and internal tools
Built for Enterprise AI Workloads
The ATTOM MCP Server is designed to support enterprise production environments and high-volume AI use cases.
By standardizing AI access to ATTOM data, the MCP Server enables faster development, more reliable integrations, and scalable AI-driven applications across industries.