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ScriptsMay 12, 2026·2 min de lectura

Monoscope — LLM Query for Logs/Traces/Metrics

Monoscope stores logs/traces/metrics in S3-compatible buckets and lets you explore them with natural-language queries plus a CLI and self-hosted UI.

Listo para agents

Este activo puede ser leído e instalado directamente por agents

TokRepo expone un comando CLI universal, contrato de instalación, metadata JSON, plan según adaptador y contenido raw para que los agents evalúen compatibilidad, riesgo y próximos pasos.

Native · 94/100Política: permitir
Superficie agent
Cualquier agent MCP/CLI
Tipo
Cli
Instalación
Manual
Confianza
Confianza: Established
Entrada
docker-compose up
Comando CLI universal
npx tokrepo install a86f3430-eb78-50ab-bebe-6eef4f53ea4a
Introducción

Monoscope stores logs/traces/metrics in S3-compatible buckets and lets you explore them with natural-language queries plus a CLI and self-hosted UI.

  • Best for: Log/trace triage and NLQ for observability data
  • Works with: Docker Compose; S3-compatible storage; OpenTelemetry ecosystem
  • Setup time: 10–30 minutes

Practical Notes

  • GitHub: 692 stars · 23 forks; pushed 2026-05-11 (verified via GitHub API).
  • README quick start uses docker-compose up and the UI defaults to http://localhost:8080.
  • Per README: CLI emits a stable JSON envelope, making it easy to chain search → triage in agent workflows.

Main

A “minimum useful loop” for incidents:

  1. Ingest a small amount of real telemetry (or use the test send/telemetrygen commands).
  2. Ask a narrow question first (“show errors for service X”), then progressively widen the window.
  3. Once you find a suspicious trace/log event, keep the query trail (filters + IDs) as a repeatable runbook.

When you later connect an agent, the goal is not “one-shot answers”—it’s to have the agent produce a deterministic chain of CLI commands you can re-run and audit.

FAQ

Q: Is cloud required? A: No—README includes a self-host quick start with Docker Compose.

Q: Where is data stored? A: README states it stores telemetry in S3-compatible buckets.

Q: How do I make it agent-friendly? A: Prefer CLI-driven workflows and keep the command chain as your audit trail.

🙏

Fuente y agradecimientos

Source: https://github.com/monoscope-tech/monoscope > License: AGPL-3.0 > GitHub stars: 692 · forks: 23

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