Presentation: APIs for Agents: Rethinking API Programs in the MCP Era

8.3 relevance

MCP and agent-to-agent API design is a forward-looking topic for AI agent ecosystems.

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Why It Matters

For a solutions architect focused on AI/ML agent orchestration and platform engineering, this demonstrates a production-tested pattern for integrating MCP and A2A into existing API ecosystems with automated governance, directly applicable to designing secure, scalable agentic workflows in enterprise environments.

Key Takeaways

Adopt Architecture as Code with CALM and automated deployment gates to safely integrate AI agents into existing API platforms.

Presentation: APIs for Agents: Rethinking API Programs in the MCP Era

Summary

Morgan Stanley modernized its API program using Architecture as Code with the open-source CALM specification, integrating Model Context Protocol (MCP) and Agent-to-Agent (A2A) communications to support agentic workflows. Automated governance enforced through deployment gates has enabled production deployment of over 110 APIs via continuous deployments, focusing on developer experience and platform engineering. This approach allows safe scaling of enterprise AI with zero-downtime platform upgrades.

Author

Jim Gough