AI artificial intelligence concept, Close up of microprocessor on mainboard electronic computer background, Futuristic innovative technologies.In this recorded interview, we sit down with Michael Wurzer, President and CEO of FBS (the company behind Flexmls and SparkAPI) to talk about the future of MLS infrastructure in an AI-powered industry. As brokerages begin deploying generative AI to power intelligent workflows and consumer experiences, MLSs face a critical inflection point: either lead by enabling secure, standards-based AI access through MCP servers – or risk fragmentation as brokers and vendors replicate MLS data in unmanaged, non-compliant environments.

SparkAPI: More Than Listings

FBS’s SparkAPI is a mature and feature-rich implementation of the RESO Web API standard. More than a listing API, SparkAPI provides access to key resources like Roster, Office, Media, Open Houses, and more. It supports advanced authentication, field-level access controls, and developer permissions, making it a natural foundation for AI-native interfaces. These capabilities are exactly what MCP (Model Context Protocol) builds on to deliver AI-native, policy-aware interactions between MLS data and generative models for brokers.

The Risk of Doing Nothing

As brokers explore AI for tasks like CMA generation, compliance workflows, or intelligent search, they need structured access to MLS data across multiple sources. If the MLS doesn’t offer a secure, AI-friendly API like MCP, brokers will be forced to replicate the data themselves or work with vendors who do. This creates fragmented data environments with little MLS oversight and no policy enforcement.

We’ve already seen this happen. When MLS data is ingested into general-purpose AI systems without proper controls, it’s exposed to compliance risks, copyright infringement, and misuse. MCP servers prevent this by keeping MLS data inside a secure, policy-governed walled garden where every AI interaction is monitored, attributed, and compliant.

Fluente: Your Partner for MCP Enablement

This is exactly why Fluente exists. It is a wholly owned AI division of WAV Group. We help brokers deploy private, standards-based MCP servers that allow authorized brokers, staff, and vendors to build AI integrations without needing to replicate MLS data externally. Fluente MCP servers developed for brokers are designed to integrate directly with platforms like the Flex MCP server so MLSs can extend the infrastructure they already have rather than reinvent the wheel.

FBS as a Beta MCP Server

While SparkAPI isn’t a full MCP implementation yet, it shows how RESO-aligned developers like FBS are well positioned to lead. It is WAV Group’s opinion that every MLS must offer an MCP server today. In the podcast, Michael Wurzer discusses the architectural alignment between SparkAPI and MCP, and how FBS is exploring this evolution to support innovation without sacrificing data governance or MLS control.

What This Means for MLSs and Brokers

This transition isn’t optional. It’s already underway. Brokers are adopting AI. If the MLS doesn’t provide compliant access to the data they need, they’ll find workarounds. But with partners like FBS and Fluente, MLSs can move proactively and stay in control. MCP servers are the gateway to a future where AI and MLS policy coexist—securely, responsibly, and transparently.

We hope you enjoy the conversation. 

Lastly, to gain further insight into this content, download our whitepapers: The Three Tiers of AI That Every Broker Shoud Know and Why MLSs Need MCP Servers.

Reach out below if you would like to learn more about the future of MLS infrastructure and Model Context Protocol Servers.

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