# Klag — integrations

> Klag is an open-source Kafka consumer lag exporter built with Vert.x and Micrometer. It monitors consumer lag, lag velocity, hot partitions, time-based lag, data-loss risk, and consumer-group state, and exports to Prometheus, Datadog, or OTLP (OpenTelemetry). It also exposes an opt-in read-only MCP endpoint for AI agents. The docs include comparisons with other Kafka tools (Burrow, KMinion, AKHQ, Confluent Control Center, Redpanda Console, Grafana, Cruise Control) and guides on how Kafka consumer lag works, common monitoring mistakes, and detecting stuck consumers.

Full index: https://klag.dev/llms.txt | Full text: https://klag.dev/llms-full.txt

## Docs

- [Datadog](https://klag.dev/integrations/datadog/): Ship Klag metrics directly to Datadog using the Datadog Micrometer registry.
- [Grafana Dashboard](https://klag.dev/integrations/grafana-dashboard/): Import Klag's pre-built Grafana dashboard for consumer lag, velocity, hot partitions, time-based lag, data-loss prevention, and JVM panels.
- [OTLP & Grafana Cloud](https://klag.dev/integrations/otlp-grafana/): Export Klag metrics over OpenTelemetry (OTLP/HTTP) to Grafana Cloud, New Relic, or any OTLP-compatible backend.
- [Prometheus](https://klag.dev/integrations/prometheus/): Scrape Klag metrics with Prometheus via the /metrics endpoint.