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Official AWS Labs MCP server for AWS Billing and Cost Management that lets AI assistants analyze costs and usage, monitor budgets and anomalies, and surface Cost Optimizer, Savings Plans, and Reserved Instance recommendations.

Query observability data, manage dashboards, and monitor your systems from Claude — run APL queries against datasets, list metrics, inspect monitors, and retrieve saved queries — with the official Axiom remote MCP server.

Expert dynamic workflows capability pack applying documented /workflows monitoring, scoped orchestration prompts, and keyword trigger governance from official workflows documentation.

AnomalyArmor armor-mcp stdio server with 52 consolidated data observability tools for alerts, freshness, schema drift, quality metrics, lineage, and AI recommendations.

Official AWS Labs MCP server that gives troubleshooting agents task-oriented access to Amazon CloudWatch metrics, alarms, logs, and PromQL queries for AI-assisted root-cause analysis and remediation recommendations.

Connect Claude to Dynatrace observability data — run DQL queries, investigate problems and vulnerabilities, analyze Kubernetes events, forecast timeseries, and resolve entity names — with the official Dynatrace open-source MCP server.

Run Linux system diagnostics from Claude — inspect CPU, memory, disk, network, services, processes, and journal logs — with the official Linux MCP Server from Red Hat's RHEL Lightspeed team, supporting both local and remote SSH-connected hosts.

Built-in HTTP MCP server for Radar, the local-first Kubernetes UI that gives Claude token-optimized cluster topology, health, events, logs, audit, RBAC, GitOps, workload, and resource-management tools.

MCP server for querying, searching, analyzing, syncing, reading, and sending alerts from a self-hosted TrendRadar news, RSS, and public-opinion monitoring workspace.

Expert agent view operations capability pack applying documented claude agents dispatch, peek/reply, attach/detach, and shell fleet commands from official agent view documentation.

Open-source ML and LLM observability framework for evaluating, testing, and monitoring data quality, drift, model behavior, and AI application outputs.

The official Mux MCP server (@mux/mcp) that gives AI agents access to the Mux API for video and analytics. It uses a "Code Mode" scheme — exposing a documentation-search tool and a code tool that runs agent-written TypeScript against the Mux SDK in an isolated sandbox — to work with Mux Video (assets, live streams, playback IDs, uploads) and Mux Data (viewer metrics and monitoring).

Expert capability pack for Agent SDK OpenTelemetry export using CLAUDE_CODE_ENABLE_TELEMETRY, OTLP exporters, and monitoring-usage reference variables documented for Claude Code CLI subprocesses.

Official Oracle repository of MCP reference servers for OCI CLI, OCI SDK, Oracle Database services, Cloud Guard, Object Storage, Monitoring, Logging, and Oracle Database documentation workflows.

Apache-2.0 platform for programmatically authoring, scheduling, monitoring, and operating workflow DAGs across workers, executors, providers, and task logs.

AI testing platform for evaluating, scanning, and monitoring machine learning and LLM application quality.

Open-source observability platform and SDK for tracing, debugging, replaying, and cost-monitoring AI agent and LLM application runs.

Open-source status companion for Claude Code and Codex with live local session state, your-turn alerts, usage views, and native macOS and Windows applications.