A new standard for AI agents in real estate and finance.

AI assistants are everywhere, from chatbots to enterprise copilots, but when it comes to real estate, they have a serious blind spot: property data. PriceHubble is changing that with the launch of our Model Context Protocol (MCP) for property data. MCPs are a new class of interfaces designed specifically for AI agents. If APIs were built to let applications talk to each other and exchange structured data, MCPs do the same for autonomous agents: they give them the context, permissions, and structured access they need to retrieve the right information, safely and reliably.

APIs were made for frontends and backends. MCPs are made for agents.

Why this matters: AI Agents grounded on property data

Real estate agents, bankers, and property owners are increasingly interacting with AI assistants like ChatGPT, Claude and all. 

But until now, agents had a fundamental weakness: they often operated without trusted, high-quality data. In those moments, an LLM can guess, approximate, or worse, generate answers that look right but are wrong. 

MCP grounds agents in trusted, curated PriceHubble data and tools. It forces the model to fetch data instead of inventing it, adds verifiability through tool outputs, and creates an auditable chain of reasoning.

PriceHubble is now launching its MCP offering dedicated to property data, covering 10 countries and connected directly to our exclusive data lake and property intelligence models.

With MCPs:

• AI agents can query real property data (listings, valuations, transactions, trends…) with guaranteed structure and provenance.

• MCP enhances agent capabilities by supplying structured tools for data access and workflow execution. Instead of relying on invented information, agents can retrieve trustworthy data, verify their steps through tool outputs, and maintain a transparent, auditable chain of reasoning.

• Enterprises gain production-ready agent experiences aligned with ISO 27001, GDPR, and the NIST AI Risk Management Framework. Built on privacy-by-design principles and safeguards aligned with EU AI Act requirements.

This is the missing bridge between LLM conversation and trusted, enterprise-grade property insights.

How MCPs help AI agents work smarter

MCPs allow agents to speak directly to PriceHubble’s data ecosystem. They combine the strengths of both worlds:

• Conversational intelligence of modern LLMs

• Reliable, factual, granular and curated property data and insights from PriceHubble

PriceHubble is progressively exposing its data and intelligence stack through MCP endpoints. Several MCPs are already live and used internally across our agentic products, such as

• Listings MCP: Structured access to active listings, attributes, price history, and days-on-market.

• Transactions MCP: Curated, deduplicated transaction records and comparables across 10 countries.

• Market Trends MCP: Local price dynamics, supply indicators, and market evolution metrics.

• Valuation MCP: Direct access to PriceHubble valuation outputs in a secure, controlled context.

More MCPs are released by the day as we continue expanding our agentic capabilities.

Battle-tested at PriceHubble

We are not just shipping MCPs, we are the first heavy users of them. Our complete agentic stack is already running on top of our MCP infrastructure, including AI Companion and AI Copilot.

Every insight they deliver comes through these MCPs. This ensures consistency, strong safeguards, and the ability to scale to thousands of users, markets, and queries.

What’s next

In Q1 26, we are opening our MCPs to external customers as part of an early access beta. If you’re building or planning to build any agentic interface relying on real property data, you can now plug directly into the same infrastructure we use internally.

Want to be among the first to connect your AI agents to trusted property data? Get in touch with your customer success manager or email us at contact@pricehubble.com. Early access spots are limited, and we’re looking for partners to help shape the next generation of property-intelligence agents.