app.openkrill/agent-trace

up checked 2026-11-11T10:37:28.058Z

Unclaimed · Unverified

Publisher-provided title

Agent Trace Check

Publisher-provided description

Read a tool-call log from an AI agent run and see which calls failed, looped or were slow.

Summary by lookupd

Analyzes a pasted AI agent tool-call log to flag failed, looping, repeated, or slow calls, and lets you send feedback to maintainers.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http agent-trace https://agenttrace.openkrill.app/mcp

Codex, remote (streamable-http)

codex mcp add agent-trace --url https://agenttrace.openkrill.app/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "agent-trace": {
      "url": "https://agenttrace.openkrill.app/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Publisher-provided text

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, which calls it repeated
submit_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 tool that broke or gav
get_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, then status answered
index_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, a one-line summary a

Shows this live status and links here; updates hourly.

[![lookupd status](https://lookupd.com/badge/app.openkrill/agent-trace.svg)](https://lookupd.com/servers/app.openkrill/agent-trace)