Categories › AI & Agents › Multi-agent, orchestration & workflows
Read a tool-call log from an AI agent run and see which calls failed, looped or were slow.
Remote server: your requests and data go to agenttrace.openkrill.app. Claude Code: claude mcp add --transport http agent-trace-check https://agenttrace.openkrill.app/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
analyze_trace — Use this when the user pastes a log of an AI agent's tool calls and wants to know which calls failed, where the agent retried in a loop, whisubmit_feedback — Send feedback, a bug report or a tool request to the maintainers of the tools on this server: a missing tool, missing or stale data, or a toget_feedback_reply — Read the maintainers' reply to feedback you sent with submit_feedback, given its ticket id. Returns status pending until a reply is ready, tindex_tools — Search the tools on this server by task or keyword in plain words. Returns the matching tools, best match first, each with its name, title, Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.