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Maple

Observability platform on OpenTelemetry and ClickHouse with an MCP server for AI diagnostics.

PlatformWebfreemium

Maple is an observability platform built on OpenTelemetry and ClickHouse that unifies distributed traces, logs, and metrics for sub-second queries across large volumes of data. It includes an MCP server so compatible AI agents can search traces, read the source behind a failing span, and propose a fix. It's aimed at engineering and SRE teams operating distributed, Kubernetes-based systems, and can run locally, self-hosted, or as a hosted service.

Categories
observabilitydevopsmonitoring

Full match profile

Behind the summary, Matchbox keeps a richer profile of Maple - the signals our matcher actually reads to decide when to surface it. It stays private; claim the listing to see and control it.

  • Problem & pain-point mapping
  • Who we surface it to (audience fit)
  • What it's a strong alternative to
  • Trust & credibility signals

Try Matchbox with your own problem

Describe what is not working - we’ll show you whether Maple (or something else) actually fits.