netdata/netdata A MCP Server Official Active
Discovery, exploration, reporting and root cause analysis using all observability data, including metrics, logs, systems, containers, processes, and network connections
70 MCP servers and agent skills in the Monitoring category, ranked by quality score.
Discovery, exploration, reporting and root cause analysis using all observability data, including metrics, logs, systems, containers, processes, and network connections
Search dashboards, investigate incidents and query datasources in your Grafana instance
Provides comprehensive integration with your [VictoriaMetrics instance APIs](https://docs.victoriametrics.com/victoriametrics/url-examples/) and [documentation](https://docs.victoriametrics.com/) for monitoring, observability, and debugging tasks related to your VictoriaMetrics instances
Debug your Container and Kubernetes workloads with an AI interface powered by eBPF.
Seamlessly bring real-time production context—logs, metrics, and traces—into your local environment to auto-fix code faster
Query and interact with kubernetes environments monitored by Metoro
Read-only log access for AI assistants over HTTPS. Whitelist log files on your Linux server; AI can search and read them without shell access. Token-authenticated, syslog-audited.
Interact with Edge Delta anomalies, query logs / patterns / events, and pinpoint root causes and optimize your pipelines.
HTTP uptime monitoring, heartbeat (dead-man's switch) monitoring, cron job scheduling, and email verification. Single API key, per-tool quota tracking. Install: `go install github.com/tickstem/mcp/cmd/tsk-mcp@latest`.
Synthetic monitoring for LLM inference endpoints. Measure TTFT, latency, throughput, and errors across OpenAI, Anthropic, Google, Azure, Bedrock, and local servers (vLLM, SGLang, Ollama). CLI + MCP server with Prometheus and OpenTelemetry export.
A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible interface.(support CPU、Memory、Disk、Network、Host、Process)
Data freshness verification for AI agents. Probes endpoints for HTTP cache staleness, latency percentiles, content fingerprinting, TLS health, DNS timing, and redirect chains. Returns deterministic FRESH/STALE/UNKNOWN verdicts with NIST AI RMF mapping. CLI + MCP server + HTTP API with Prometheus metrics and YAML policy engine.
An MCP server for querying Grafana Loki directly with a discovery-first workflow — labels, values, series, and LogQL queries without requiring Grafana.