2 posts tagged with "Debugging"

Your AI assistant calls a tool through MCP. What actually happened? Did it work? How long did it take? What did it send, and what did it get back?

Before now, you'd dig through logs or just hope your AI would explain what happened. That's not enough.

We built complete tool execution tracking right into MCP Bundles. Every tool call gets logged with full context—timing, credentials used, results, everything. You can see exactly what your AI is doing, debug failures fast, and understand your tool usage patterns.

Our bundle search tool was taking 12 seconds at P95. Users would ask Claude to "find the Slack integration," watch nothing happen, then ask again. Claude would make the same call twice, wait 24 seconds total, and users would close the tab thinking our service was down.

The tool worked perfectly. It just worked slowly. And in the world of AI assistants, slow might as well be broken.