Morningstar Credit Analytics has launched a new artificial intelligence capability that allows users to access commercial real estate (CRE) surveillance and commercial mortgage-backed securities (CMBS) analytics through natural-language queries.
The company announced that users can now connect Anthropic's Claude AI models directly to Morningstar Credit Analytics through Anthropic's Model Context Protocol (MCP), enabling market participants to analyze structured finance and CRE data using conversational prompts.
According to Morningstar, users can ask questions about CMBS transactions, loan performance, surveillance trends, property-level information, and broader commercial real estate market conditions without relying solely on traditional search functions and reporting tools.
The launch is designed to help investors, analysts, and other market participants navigate large volumes of commercial real estate and structured finance data more efficiently.
"AI is changing how financial professionals interact with data," the company said in announcing the new capability.
While much of the recent attention surrounding AI in housing finance has focused on automating mortgage workflows, borrower communications, and servicing functions, Morningstar's announcement highlights another emerging use case: helping professionals access and interpret complex datasets through conversational interfaces.
The new functionality is aimed primarily at commercial real estate and capital markets professionals, allowing users to interact with surveillance and securitized credit information through AI-powered queries rather than traditional database searches.
Unlike many recent AI deployments in mortgage and housing finance that focus on automating tasks, Morningstar's initiative centers on information retrieval and analysis.
