Monitoring & Observability MCP servers
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.
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.
Allows an AI client to query Grafana dashboards, panels, folders, and datasources with read-only or write-capable access.
Allows AI agents to access privacy-first website statistics, real-time visitor counts, and detailed traffic breakdowns via the Plausible API.
$claude mcp add plausible-mcp -- uvx plausible-mcpLets an AI client query Zabbix problems, hosts, and item values, and manage maintenance windows or problem acknowledgements.
$claude mcp add zapi-mcp -- uvx zapi-mcpMonitors agent liveness by tracking check-ins and sending email alerts when agents fail to report within specified intervals.
$claude mcp add forgingstack-watchtower -- uvx forgingstack-watchtowerProvides AI-powered operations and diagnostics for Oracle Linux Virtualization Manager and oVirt 4.5 via a governed audit-logged interface.
$claude mcp add olvm-aiops -- uvx olvm-aiopsEnables AI clients to query and manage self-hosted Prometheus, Grafana, Alertmanager, and Loki stacks with built-in audit logging and undo capabilities.
$claude mcp add observability-aiops -- uvx observability-aiopsProvides governed network and infrastructure monitoring across SolarWinds Orion, Paessler PRTG, and Zabbix with audited read and write capabilities.
$claude mcp add monitoring-aiops -- uvx monitoring-aiopsMonitors Python applications to verify deployments and report errors or performance metrics for web servers and background jobs.
$claude mcp add deployangel-python -- uvx deployangelAdds analytics, session replay, and OpenTelemetry-compatible log and trace export to MCP servers with one line of code.
Lets an AI client explore Dremio tables, run queries, and analyze workloads and Prometheus metrics.
Enables AI assistants to inspect, diagnose, and manage Apache Flink clusters via the JobManager REST API.
Allows AI clients to inspect, monitor, and analyze MySQL servers using natural language queries for performance diagnostics and schema discovery.
Lets an AI assistant access the Internet Cyber Health Index to monitor global cyber threat bands, scores, and critical advisories.
Monitors Python MCP servers by capturing tool calls, session lifecycles, and module imports as structured NDJSON without code changes.
Lets an AI client investigate running systems through application health, logs, distributed traces, profiles, metrics, and SLO incidents.
Enables AI agents to query logs, perform statistical analysis, manage dashboards, and convert natural language to SPL using the LogEase platform.
Provides read-only observability for Kafka clusters, allowing AI agents to diagnose consumer lag, cluster health, and partition states.
$claude mcp add kafka-sentinel-mcp -- uvx kafka-sentinel-mcpLets an AI client inspect and manage an OpenStack project's compute, network, storage, and telemetry resources, read-only by default.
Analyzes server access logs to track people, AI assistants, crawlers, and bots without using cookies or JavaScript trackers.
Provides local-first observability for AI egress by recording outbound call destinations, processes, sizes, and timing.
$claude mcp add vantio-optics -- npx -y @vantio/optics-mcp