9 MCP Sandboxing and Resilience Patterns That Stop AI Agents From Breaking in Production
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Model Context Protocol (MCP) went from "cool demo protocol" to production infrastructure in about six months. But here's the thing — most tutorials show you the happy path. Connect a server, call a tool, done. Production is different. Production means auth failures at 3 AM, context windows exploding, tools timing out, and agents calling the wrong tool because your descriptions were ambiguous. These are 9 patterns I've battle-tested for keeping MCP-based systems alive in production. Real code.