AI engineering platform for tracing, evaluating and improving LLM apps and agents — with Phoenix, its open-source local-first counterpart, for teams that want to start without a vendor.
Data & AnalyticsFreemium
Tracing
Following a request across services to see where time and errors actually go.
1 app, 5 skills and 5 MCP servers tagged Tracing.
Apps
Skills
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.
16 views
Skill: Sentry SDK Setup
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.
12 views
Skill: Elastic LLM and Agentic Observability
by Elastic
Elastic's official skill for monitoring LLM and agent workloads — token cost, latency, response quality and workflow orchestration, queried with ES|QL.
10 views
Skill: OpenSearch Trace Analytics
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.
9 views
Skill: Datadog APM
by Datadog
Install, instrument and analyse Datadog APM from an agent — Kubernetes and Linux Single-Step Instrumentation, service remapping, trace search and service maps.
11 views
MCP servers
Query SigNoz metrics, traces, logs, alerts and dashboards in natural language — and create alerts, dashboards and saved views back, with deep links into the UI.
7 views
ClickHouse's observability MCP server — investigate logs, traces and metrics with semantic tools rather than raw SQL, hosted or self-hosted.
13 views
MCP: Arize Phoenix MCP Server
by Arize AI
Official MCP server for Arize Phoenix: read traces and spans, manage prompt versions, and run and inspect datasets and experiments from an AI assistant.
11 views
Official Google server exposing Google Cloud Observability to agents — querying logs, metrics and traces from a Google Cloud project without leaving the assistant.
MCP: Honeycomb MCP Server
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.
9 views
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