Google's Gemini CLI promises smooth MCP dev on AWS EKS. But after 20 years watching Valley smoke, I smell AWS meter running. Here's the no-fluff path.
Picture this: your AI research agent, mid-prompt, flips the switch on a full deployment. Disaster. Tool-level permission scoping in MCP servers fixes that nightmare before it starts.
Imagine debugging an AI agent where 90% of your tool's delay hides in an untraceable LLM call. This fix changes that for MCP servers, handing devs real observability.
Your next code review uncovers verify=False in prod. Heart sinks. But MCP flips that script—replacing fragile REST hacks with AI-ready control planes that just work.
Picture this: you're a solo dev, hammering out an app, and your AI coder pulls git history, files Jira tickets, scans your codebase – all offline, zero cloud bills. Docker just made Claude Code your personal AI beast, safely caged.