Skill: Sentry AI Agent Monitoring Setup
by Sentry
Sentry's official skill for instrumenting LLM and agent code — detects your installed AI SDK and wires up traces for model calls, tool use and token spend.
Following a request across services to see where time and errors actually go.
5 skills and 4 MCP servers tagged Tracing.
by Sentry
Sentry's official skill for instrumenting LLM and agent code — detects your installed AI SDK and wires up traces for model calls, tool use and token spend.
by Sentry
Sentry's official router skill: detects your language or framework, then loads the matching Sentry SDK setup guide for error monitoring, tracing and session replay.
by Elastic
Elastic's official skill for monitoring LLM and agent workloads — token cost, latency, response quality and workflow orchestration, queried with ES|QL.
by OpenSearch Project
Investigate OpenTelemetry traces stored in OpenSearch — slow and error spans, reconstructed trace trees, service maps, plus agent invocation and token-usage analysis.
by Datadog
Install, instrument and analyse Datadog APM from an agent — Kubernetes and Linux Single-Step Instrumentation, service remapping, trace search and service maps.
ClickHouse's observability MCP server — investigate logs, traces and metrics with semantic tools rather than raw SQL, hosted or self-hosted.
Official MCP server for Arize Phoenix: read traces and spans, manage prompt versions, and run and inspect datasets and experiments from an AI assistant.
Official Google server exposing Google Cloud Observability to agents — querying logs, metrics and traces from a Google Cloud project without leaving the assistant.
by Honeycomb
Honeycomb's hosted MCP server — query traces, metrics, logs and events, run BubbleUp, and read Boards, Triggers and SLOs from an AI agent.
Tags that appear alongside this one, ranked by how often.