The original title is: "Beyond MCP: why your enterprise AI platform needs seven boundaries, not one protocol"

Short summary

MCP standardizes only the agent-to-tool boundary; enterprise AI platforms need seven distinct boundaries including agent-to-service (REST/gRPC), agent-to-agent (A2A), agent-to-user (AG-UI), durable processes (workflow engines), and identity (OAuth/IAM). The article maps four emerging open protocols — MCP, A2A, AG-UI, and AgentCore — to their respective problems and argues that stronger models make the control layer more important, not less.

• •MCP solves only agent-to-tool discovery; enterprise platforms need seven boundaries including A2A, AG-UI, workflow engines, and IAM
• •Four open protocols (MCP, A2A, AG-UI, AgentCore) address different problems and none alone is sufficient
• •As models dynamically assemble execution paths, identity, authorization, and audit infrastructure become more critical

Generated with AI, which can make mistakes.