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Even the most generic AI tool now can help draft a paragraph, summarize a message, or brainstorm content. That can be helpful, but it does not solve the bigger problem.
Real estate depends on real data. One break in the chain; one incorrect data mapping; one entire missed experience. This leads to decisions being made on bad data by MLS execs.
If AI is going to support that work in a meaningful way, it needs the correct way to understand the environment it is being asked to help with.
That is where MCP becomes more practical.
And today, Solid Earth is announcing MCP servers for all of our MLS customers. Free.
Solid Earth’s live MCP server gives customers a starting point for connecting approved AI tools with real estate data. The first version supports agents/users and properties, which are two of the most important data categories in MLS and brokerage operations. We can add more as needed by our customers as well.
An MCP Server Can Connect AI Tools to Agent, User, and Property Data
MCP gives AI clients a standard way to interact with external systems through defined tools and resources. In the MLS context, that can create a more practical bridge between AI interfaces and the systems members already rely on.
That opens the door to the top 10 questions agents can try:
- How many of our agents login to what tools (using the Solid Earth SSO Platform)
- How many of our agents have sold a listing in the last 12 months?
- Can you summarize key performance indicators for our MLS—such as list-to-sale price ratios, days on market, and off-MLS activity—by county and by brokerage size?
- Which listings, offices, or brokerages show unusual behavior (rapid status changes, repeated withdrawals, or rule violations) that may warrant audit or outreach?
- Where are we seeing the highest incidence of rule violations or late data entry, and which policies or training programs should we prioritize as a result?
- What should I know about member engagement trends—logins, listing input, search activity, and use of integrated tools—across different associations and firms?
- Which brokerages, offices, or teams are driving the majority of listing volume and transaction sides, and how is that concentration shifting over time?
- Can you generate an MLS-level market and operations report—by association, region, and property type—that I can share with my board and key stakeholders?
- Based on recent MLS data and member behavior, what strategic actions should we consider (policy updates, new products, integrations, or education) to deliver more value to our participants and subscribers?
This is where the first version of Solid Earth’s MCP server is intentionally useful. Agents/users and properties are foundational.
MLS Member Value Will Come From Useful, Governed AI Infrastructure
An MLS cannot protect its data by pretending scraped data will not be used. It protects its data by offering a better, governed path. An MCP server gives MLSs a controlled way to make approved data available to approved AI tools through defined permissions, structured access, and known data sources. That matters because scraped data is often incomplete, delayed, stripped of important business context, or disconnected from the rules that give MLS data its meaning. When AI works from governed MLS data instead of scraped copies, the output is more accurate, more accountable, and far easier to trust.
Just as important, an MCP server helps MLSs keep control over who can access data, what they can access, and how that access is used. That creates a stronger foundation for auditability, compliance, and member protection. Instead of allowing value to leak into unapproved tools and unofficial datasets, the MLS can support innovation inside a framework that respects data ownership, market integrity, and local policy. For MLS executives, that is the real opportunity: not just enabling AI, but enabling it in a way that protects the system, the members who contribute to it, and the long-term value of the data itself.