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Morningstar Credit Analytics Launches AI Access to CRE Surveillance and CMBS Analytics
Morningstar Credit Analytics Launches AI Access to CRE Surveillance and CMBS
About this update from Morningstar, Inc.
Morningstar Credit Analytics (MCA), a wholly-owned subsidiary of Morningstar, Inc. (Nasdaq: MORN), today announced a new AI integration designed to enable licensed users to access Morningstar Credit Analytics’ commercial real estate (CRE) and commercial mortgage-backed securities (CMBS) data directly within Anthropic’s Claude. By integrating via Model Context Protocol (MCP), analysts can query live loan- and deal-level data using natural language questions within their AI workflows. As AI interfaces become a primary entry point for financial research, governed access to structured institutional data is becoming critical for professional market participants. Morningstar Credit Analytics' integration aims to bring institutional credit intelligence into AI-enabled research workflows while preserving the data governance and entitlement controls already in place. “Credit analysis has always depended on trusted data and analytical rigor. What’s changing is the speed and accessibility of that analysis,” said Brian Grow, president of Morningstar Credit Analytics. “By connecting our CRE and CMBS intelligence to AI tools like Claude, we can bring institutional credit intelligence directly into workflows. This is not a chatbot layered onto financial services. It’s about delivering credit insights while maintaining transparency, governance, and control.” CRE Analytics, Now in Your AI Workflow CRE Analytics is designed to give credit professionals direct access to CMBS loan performance, pool composition, and monthly surveillance data across conduit, SASB, CRE CLO, and agency structures. MCP integration brings that data directly into Claude, allowing licensed users to ask natural language questions without leaving their AI workflows. The MCP-based architecture delivers Morningstar Credit Analytics’ proprietary data within existing entitlement and access controls. Users can interact directly with the data they are licensed to access. This is designed to enable organizations to extend governed access to institutional credit intelligence into AI workflows without compromising oversight or control. CRE Surveillance and Analytics Use Cases Licensed users can support credit risk analysis workflows directly within Claude to: Query delinquency status, watchlist activity, and special servicing flags Retrieve CMBS deal and tranche-level analytics without leaving your AI workflow...