Marc Daniel Registre, MBA
Founder, ArchRails
Miami, Florida, United States
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Marc Daniel Registre is the founder of ArchRails and an Engineering leader focused on architecture governance, AI-assisted review, and developer tooling. He is building PR-time architecture compliance workflows using FINOS CALM to help teams detect drift earlier and create more auditable software delivery practices, especially in regulated environments.
Area of Expertise
Governing MCP at Scale: Enforcing Agentic Architecture Standards at PR Time
As MCP server adoption accelerates across enterprises, a new class of drift is emerging: teams ship MCP-based agent architectures that look compliant in docs but diverge in code. By the time it’s caught, the blast radius is wide and the audit trail is cold.
This session shows how FINOS CALM — an open standard for machine-readable architecture — can be paired with PR-time enforcement to govern MCP server deployments before they merge. We’ll walk through real validation patterns: detecting undeclared agent interfaces, catching unauthorized node additions, and flagging control violations against architecture policy — all inside a GitHub Actions workflow.
Attendees will leave with a practical framework for treating MCP architecture as enforceable policy, not documentation. Especially relevant for teams operating in regulated environments where auditability isn’t optional.
Using CALM to Enforce Architecture at PR Time in Regulated Environments
Most architecture reviews happen after the code is already written, too late to prevent drift. In regulated industries, governance lives in documents and review boards instead of the pull-request workflow where change actually happens.
This talk shows how CALM can serve as the architectural source of truth for PR-time compliance checks, pairing deterministic structural validation with contextual AI explanations.
I'll walk through an approach where approved architecture definitions are parsed from CALM, normalized into a graph, and used during code review to detect undeclared dependencies, bypassed boundaries, or unexpected interaction patterns, creating an auditable, scalable control point without slowing delivery.
The session covers the practical design of the validator, how deterministic checks and AI explanations complement each other, and why this model is especially relevant for financial services teams that need both control and evidence. Attendees leave with a pattern for using open standards and open source tooling to move architecture governance closer to the software delivery lifecycle.
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