Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
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 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
Quality signal
48/100 (Fair)
45/100 (Fair)
Install path
npx · high
npx · high
Engagement
1 0 0 181
0 0 0 11
Tools
Multi-server monitoring and management via SSHOne-command installation of popular self-hosted appsBackup verification by booting backups in isolated containersDoctor checks for resource pressure, stopped containers, and backup hygieneOutputs both human-readable summaries and machine-readable JSONNo daemon or database required; single Go binary with zero dependencies
Request logging with full prompt, response, cost, and latency dataAgent tracing for multi-step and tool-based LLM callsCost tracking and model usage analytics across providersAnomaly detection and PII scanningPrompt versioning and A/B experiment supportSelf-hostable with a single Docker command and open source MIT license
