This is local-first observability for MCP tool chains. Every tool call, token count, and latency measurement lands in a local SQLite database instead of a cloud service. You get 13 tools covering the full lifecycle: trace_start and trace_step to capture workflow execution, export_dashboard to generate a self-contained HTML waterfall view, compare_traces to diff two runs side by side, and configure_alerts for Slack or webhook notifications. Token cost estimates run offline using tiktoken and a configurable pricing table. Adds under 5ms overhead per step. Reach for this when your traces contain sensitive data that can't leave your machine, or when you need MCP-native instrumentation without LangSmith's API keys and account setup.
claude mcp add --transport stdio dbsectrainer-mcp-agent-trace-inspector -- npx -y mcp-agent-trace-inspector