Monitoring and observability MCP servers for logs, metrics, traces and error tracking: let an AI assistant investigate incidents with real data. 699 servers in this category.
Lets an AI client build, start, and manage Cisco Modeling Labs network topologies, nodes, links, and packet captures.
$claude mcp add cml-mcp -- uvx cml-mcp
Provides AI assistants with structured access to the LogicMonitor REST API to manage alerts, devices, dashboards, and network metrics.
$claude mcp add mcp-server-logicmonitor -- uvx lm-mcp
Allows an AI client to search traces, inspect spans, map service dependencies, and analyze performance bottlenecks in Jaeger distributed tracing data.
$claude mcp add jaeger-mcp -- uvx jaeger-mcp
Lets AI clients read NetBox objects, object details, and change history through a read-only Model Context Protocol server.
Exposes the complete Zabbix API as MCP tools, allowing AI assistants to query hosts, manage templates, and monitor infrastructure.
Lets AI agents write and tune detections, query security logs, and triage alerts in Panther.
Lets an AI client query and manage LibreNMS network monitoring data, including devices, ports, alerts, logs and graphs.
$claude mcp add librenms-mcp -- uvx librenms-mcp
Measure GPU performance, frame pacing, and memory usage for Wine and macOS programs on Apple silicon using Metal System Trace.
$claude mcp add metal-gpu-trace -- uvx metal-gpu-traceLets an AI agent discover SonarQube projects, retrieve quality metrics, check Quality Gate status, and rank projects by their worst metrics.
$claude mcp add sonarqube-mcp -- uvx sonarqube-mcp
Allows AI clients to query OpenTelemetry traces across multiple observability backends like Jaeger, Datadog, and Sentry to debug and analyze GenAI applications.
$claude mcp add tracehub-mcp -- uvx tracehub-mcp
Allows AI coding assistants to monitor uptime, manage incidents, configure alerting, and query dependency status via DevHelm.
$claude mcp add mcp-server -- uvx devhelm-mcp-server
Provides observability for Claude Code sessions by recording, searching, and analyzing session history through MCP tools and a web dashboard.
$claude mcp add claude-replay -- uvx claude-replay
Lets an AI client inspect local agent traces to analyze failures, approval decisions, token usage, and run comparisons.
$claude mcp add spanhound -- uvx spanhoundEnables AI clients to inspect local agent traces for failures, approval decisions, token usage, and run comparisons using JSONL and OTLP data.
$claude mcp add mcp-trace-inspector -- uvx mcp-trace-inspectorAllows an AI client to query OpenTelemetry traces from agent runs to investigate failures, token usage, and approval decisions.
$claude mcp add mcp-trace -- uvx abhishekash-mcp-trace
Exposes access point, switch, and wireless client status from Aruba Central to AI assistants via the GreenLake New Central API.
$claude mcp add aruba-central-mcp -- uvx aruba-central-mcp
Lets an AI agent inspect jobs and debug cron schedules, and optionally control them, from a cronstable scheduler.
Combines workflow profiling, chaos experiments, and sidecar discovery behind one MCP interface for AI agent operations.
$claude mcp add mcp-server -- uvx deep-agentic-core-mcp
Lets AI clients manage network automations, run workflows, monitor platform health, and configure devices on Itential Platform.
Lets an AI client read WHOOP recovery, sleep, strain, cycle, workout and body measurement data via WHOOP's official OAuth API.
$claude mcp add --transport http whoop https://missingmcp.com/whoop/mcp