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This presentation details Morgan Stanley's strategy for modernizing enterprise API programs by integrating the Model Context Protocol (MCP) and Agent-to-Agent communications to support scalable agentic workflows. The core focus is on implementing "Architecture as Code" with CALM to enforce automated governance, deployment gates, and zero-downtime upgrades specifically for AI agent ecosystems.
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Presentation: APIs for Agents: Rethinking API Programs in the MCP Era

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Jim Gough and Andreea Niculcea explain how Morgan Stanley uses Architecture as Code with CALM to modernize its API program. They demonstrate integrating Model Context Protocol (MCP) and Agent-to-Agent (A2A) communications, enforcing automated governance through deployment gates, and executing zero-downtime platform upgrades to safely scale enterprise AI and agentic workflows. By Jim Gough, Andreea Niculcea

Jim Gough: We're going to talk about APIs for agents. Really, what we've been doing at Morgan Stanley over the last year is really rethinking our API program in light of where the industry has gone. What we're going to cover today. We're going to do an introduction to MCP. We're going to talk about the core concepts of something called CALM. We'll get into that in a little bit. This is really the two things that we've paired together to give us platform architecture that enables us to move really quickly for the types of challenges that you'll all be facing. We're going to look at the demo from last year and really add MCP and other things to it. There are a lot of demos in this session. We're going to introduce governance and controls, that's a really big thing for us, and how that fits into both CALM and some of the work that we've been doing around gates. We'll then talk about how we're going to scale platforms, and how then we start to change for various different things that we're going to encounter. Who are we? I'm Jim. I'm a distinguished engineer at Morgan Stanley.…

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