How we cut MCP context by 95% and stopped wasting the team's time
We've all been there. Claude hits an MCP error, tries a different approach, hits another one, tries again — and eventually figures it out. You wait a minute, maybe two, it's fine. But here's the th...
We've all been there. Claude hits an MCP error, tries a different approach, hits another one, tries again — and eventually figures it out. You wait a minute, maybe two, it's fine. But here's the thing nobody talks about: when a whole team uses Claude Code daily, those minutes stack. One person watches the agent spin through three wrong SQL dialects before landing on the right one. Another waits while it retries the same failed tool call four times. Someone else loses the thread of a complex session because query results flooded the context. Multiply that by four people, every day, and you're not talking about a minor inconvenience anymore — you're talking about hours of engineering time burned while Claude figures out things it should have known from the start. I started tracking it. Two weeks, 23+ of these incidents across my analytics team. And the worst part? The agent wasn't being stupid. It was being sabotaged by the server we gave it. We were using the official aws-dataprocessing