In this article, the authors outline protocols for creating extensible multi-agent MLOps. The architecture decouples orchestration from execution, enabling discovery and intelligent coordination.

InfoQ is a leading online platform for software developers, architects, and technical leaders, providing news, articles, presentations, and interviews on a wide range of topics, including agile practices, DevOps, microservices, and emerging technologies. With a focus on quality content and expert insights, InfoQ helps professionals stay informed about the latest trends, best practices, and industry developments. Developers can learn from real-world experiences, gain  knowledge, and connect with peers in the global software community through InfoQ's diverse and engaging content.

InfoQ

A2A (Agent-to-Agent) and MCP (Model Context Protocol) can be layered to build extensible multi-agent MLOps systems. A2A provides the communication bus for agent discovery and coordination, while MCP acts as a universal interface for accessing tools and resources. The architecture decouples orchestration logic from execution logic: an Orchestrator agent breaks high-level goals into tasks and delegates to specialist agents (Validation, Deployment), which discover and invoke MCP tools dynamically. This pattern enables adding new capabilities without rewriting core logic, moving from rigid pipelines to adaptive, goal-oriented automation. The approach applies beyond MLOps to any domain requiring dynamic agent collaboration.

Architecting Agentic MLOps: A Layered Protocol Strategy with A2A and MCP

Architectural Benefits of Layering those two protocols