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
Browse all Model Context Protocol servers with quality scores, stars, languages and maintenance activity.
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
Leverage AI-driven observability, security, and automation to analyze anomalies, logs, traces, events, metrics.
Sentry.io integration for error tracking and performance monitoring
All-in-one homelab management MCP server. Monitor system resources, manage Docker containers, Wake-on-LAN, scan networks, check open ports, and run alerts — across multiple servers via SSH. Single 10MB binary, zero dependencies.
Query Spanlens LLM observability from Claude Desktop, Cursor, or Continue: request logs, costs, agent traces, anomalies, and user analytics with a read-only API key.
Query Langfuse traces, debug exceptions, analyze sessions, and manage prompts. Full observability toolkit for LLM applications.
Real-time cost observability for MCP tool calls. Transparent proxy auto-detects every MCP client (Claude Desktop, Cursor, Windsurf, VS Code, Claude Code, Zed, Continue.dev, Cline, Goose) and attributes spend per tool, per project, per end-customer. `npx @mcpspend/proxy add` install. Free tier 25K calls/month, no card. MIT proxy on npm. EU-hosted, GDPR-ready.
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
Tamper-evident observability for AI agents: a SHA-256 hash-chained audit log with chain verification and signed export (EU AI Act Art. 12). Instrument any agent with zero code via `npx -y @agentlensai/mcp`; also ingests OpenTelemetry GenAI traces.
AI API cost tracking and budget enforcement across 11 LLM providers. 6 tools for spend analytics, budget monitoring, session summaries, and key management.
Go-based MCP server that bridges any GenieACS (TR-069 ACS) instance, exposing device data, firmware management, and CPE actions (reboot, parameter refresh, firmware download) over JSON-RPC. Docker image available.
Transparent proxy for any MCP server that intercepts all JSON-RPC messages, measures latency, and stores traces in SQLite, PostgreSQL, or MySQL. Exports OpenTelemetry (OTLP) spans to Jaeger, Tempo, or Grafana. Supports stdio, HTTP, and SSE transports. `npx @cardor/heimdall-mcp`
Query your Spanlens LLM observability from any MCP client. 7 read tools for request logs, agent traces, cost stats, anomalies, model-savings, and per-user analytics across OpenAI, Anthropic, and Gemini. Open source, self-hostable. `npx -y @spanlens/mcp-server`
Zero-config data quality monitoring across Postgres, BigQuery, Snowflake, MySQL, and DuckDB. Profile a warehouse, detect anomalies (volume, schema drift, freshness, NULLs, distribution, cardinality), with optional dbt manifest lineage. Read-only — connection resolved server-side, never passed via the model.
Model Context Protocol server for monitoring Operational Status of major digital platforms in Claude Desktop.
MCP-native agent evaluation and observability server with trace logging, output quality evaluation, cost tracking, 12 built-in eval rules, real-time dashboard, and PII detection.
Tautulli (Plex media server monitoring) with 11 read-only tools for activity, history, library stats, user stats, transcode analysis, and resolution breakdowns.
Runtime guardrails and incident read access for coding agents. Query AgentGuard traces, alerts, usage, costs, and budget health.
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.
Local-first LLM API cost tracker. Captures usage across Anthropic, OpenAI, Qwen, and DeepSeek into a local SQLite ledger and exposes spend queries, provider comparison, and recommendations as MCP tools — with first-class Chinese-provider support (CNY→USD). Install: `uvx llm-usage-mcp`.
Socket.IO-style telemetry for MCP servers. Instrument a tool call with a few lines of `mcp-telemetry-sdk`, and `telemetry_subscribe` streams its live progress (steps, logs, cost, done) to any connected MCP client via `notifications/progress` — no polling, and a job started in one session can be watched from a completely different one.
Go-based MCP server for Duplicacy backup monitoring. Query backup job status and Prometheus metrics from a Duplicacy exporter. Docker image available.
Agents query their own ledger: sessions, costs, loop runs, and stuck-loop flags captured by the Agentic Ledger transparent-proxy flight recorder (local-first, MIT). Install: `pip install agentic-ledger`.
MCP server providing comprehensive Datadog observability access for AI assistants. Features grep-like log search, APM trace filtering with duration/status/error queries, smart sampling modes for token efficiency, and cross-correlation between logs, traces, and metrics.
Unofficial FortiMonitor v2 API integration with 241 tools for server monitoring, outages, maintenance, metrics, notifications, and more.
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`.
AI infrastructure cartographer & MCP server: fingerprints, graphs, and watches the live infrastructure an agent can reach (Docker, Kubernetes, cloud, IaC) and detects incidents.
Observability for AI agents: 87 tools to query LLM cost, errors, and latency across OpenAI/Anthropic/Gemini/Mistral, and operate alerts, budget gates, evals, and safety checks from Claude/Cursor. Install: `npx -y @argosvix/mcp-server`.
Server ops via AI: log troubleshooting, CPU/memory/disk monitoring, code edit, Nginx & certificate management. Local or SSH-remote with two-step confirmation, command whitelist, and secret redaction. Install: `npx -y server-ops-mcp`.
MCP server that checks the live status of 3831 software services in real time. Ask your AI agent "is GitHub down?" or "what's wrong with Sentry?" — and get a live answer pulled directly from official status pages, including full incident detail when something is broken. `npx -y github:jabbawocky/statuscraft`
Check real-time operational status of 114+ cloud services and APIs (AWS, GitHub, Stripe, OpenAI, Vercel, etc.) directly from AI assistants. Published on npm.
VMware Aria Operations monitoring — performance metrics, alarms, capacity analysis, and anomaly detection across vSphere infrastructure. 27 tools (21 read, 6 write) with audit logging for acknowledge/cancel actions.