netdata/netdata A
Discovery, exploration, reporting and root cause analysis using all observability data, including metrics, logs, systems, containers, processes, and network connections
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`
Example client config (verify package name in the repo README)
{
"mcpServers": {
"Spanlens": {
"command": "npx",
"args": ["-y", "Spanlens"]
}
}
}Transparent heuristic — same formula for every entry. Total 61/100.
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.