Posts tagged: cloud-run

Give Your Agents Tools That Scale Down to Zero or Up to Infinity Originally shared by Google Cloud Tech on X - August 26, 2026. By @zeroasterisk and @Saboo_Shubham_. An agent is only as capable as its tools, and in production those tools run as Model Context Protocol (MCP) servers. Every other layer of your stack scales to zero when it goes idle — until last month, a single MCP session pinned every tool call to one container.

Scaling AI Agent Infrastructure with the MCP Stateless Updates Originally published on Google Developers Blog - August 5, 2026, co-authored with Kurtis Van Gent. The 2026-07-28 Model Context Protocol (MCP) spec removes protocol-level sessions in favor of a stateless core. Every tool call is now self-describing, which unlocks seamless horizontal scaling and lets tool servers run on standard HTTP routing infrastructure — no more sticky sessions, no more Redis clusters just to remember which pod holds a session.