タグ：observability

Lets agents query Prometheus metrics with PromQL and browse metric metadata and scrape targets to help investigate alerts and performance issues. Supports basic auth, bearer tokens and multi-tenancy; Docker is the recommended way to run it.

Grafana Labs' official skills: dashboards and alerting, PromQL, Loki, Tempo, Mimir and Pyroscope queries, Prometheus cardinality troubleshooting, Grafana Cloud management and cost optimization, k6 load testing and plugin development. Some skills need Grafana Cloud.

Official Alibaba Cloud MCP: query logs, metrics and traces from SLS, CloudMonitor and ARMS, with time-series comparison and natural-language-to-SQL. Needs an AccessKey; some AI tools are billed per call. The install uses the Python version (main branch is now a Go binary).

MLflow's official skills plugin: lets coding agents add MLflow Tracing to LLM apps, analyze failed traces, build evaluation datasets and scorers, and query token and latency metrics, closing the instrument, evaluate, iterate loop. Needs MLflow 3.8+.

Langfuse's official plugin: uses hooks to send prompts, model calls, token usage and cost, tool calls and subagents from Claude Code sessions to Langfuse as traces for monitoring and review. Needs Langfuse keys (self-hosting supported) and uv or Python 3.10+.

Preconfigures the Datadog MCP in Claude Code to query logs, metrics, traces, dashboards and monitors in plain language while troubleshooting production. Maintained by Datadog; needs a Datadog account (OAuth or API key). In preview.