30 Days After MCP 07-28: Stateless Won, Now Come Skills, Triggers, & Identity
Blog post from Arcade
About a month after a major Model Context Protocol (MCP) revision, the author argues that enterprises have broadly accepted MCP as the standard for connecting AI agents to business systems, shifting attention from whether to use it toward how to implement it effectively. The revised specification’s move to stateless servers has simplified scalable deployment by allowing requests to reach any server instance without session stores, while task support enables long-running, non-blocking operations such as migrations, research, and approval-dependent workflows. The author identifies three key areas for future development: remotely distributable agent skills for sharing repeatable organizational workflows, bi-directional communication and triggers that allow external systems to notify or reactivate agents, and strong workload identity that verifies agent and application identities for sensitive actions. Arcade positions its enterprise agent runtime around authorization that evaluates both the user and agent on every action, viewing identity, triggers, and shared skills as central requirements for production-scale agent systems.
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