Hook
My MCP server kept crashing in production. Every time it restarted, my AI agents would blindly retry the same failing operations, wasting tokens and time. I needed a way for them to learn from failures — and share those lessons with each other.
So I built a failure library. Now when an agent hits an error, it logs it. The next agent checks the library first and either avoids the trap entirely or applies a verified fix.
The Fix
Here's the core pattern — a simple JSON-based failure cache that any MCP server can adopt:
