QCon London 2026: Morgan Stanley Rethinks Its API Program for the MCP Era

Editor's take

Morgan Stanley is proactively redesigning its internal API strategy to accommodate the anticipated influx of large language models (LLMs) and multimodal models within its operations, moving beyond traditional RESTful interfaces.

This strategic pivot is crucial as financial institutions like Morgan Stanley increasingly integrate AI for complex tasks, from customer service to risk analysis. The shift acknowledges that current API architectures, often built for structured data exchange, may struggle with the nuanced, context-dependent interactions required by advanced AI, impacting developers and downstream applications that rely on these interfaces.

Future developments will likely focus on how Morgan Stanley standardizes access to its data and services for AI agents, potentially involving event-driven architectures or graph-based APIs. Observing the specific tooling and governance frameworks they adopt for managing these AI-driven interactions will be key to understanding their ability to scale this initiative effectively.