r/artificial: Developer Details MCP and A2A Running Together in Production — Six-Agent Churn Risk Pipeline Exposes Identity and Authorization Gaps at Scale

An enterprise AI builder posted a detailed architecture breakdown on r/artificial showing how MCP and Google's Agent-to-Agent (A2A) protocol interact in a fully autonomous production churn risk pipeline using six specialized agents. A2A handles inter-agent communication and task delegation while MCP provides scoped tool access; the post documents key production friction points including agent identity management, authorization scoping, and audit-trail generation across agent boundaries. The build illustrates how multi-agent architectures generate governance requirements that single-agent deployments do not surface.