homelab-monitor
Consolidates fragmented homelab observability into a single pane without manual configuration, reducing operational overhead and enabling AI agents to autono…
Plug-and-play homelab dashboard in one container — GPU, local-AI VRAM, Docker, systemd, host health. Built-in read-only MCP server so AI agents can explore it too.
- Ask Claude to check GPU utilization and temperature across your homelab servers right now.
- Generate a health report of Docker containers, systemd services, and host CPU usage.
- Automate alerts when local AI VRAM usage exceeds thresholds on your infrastructure.
Consolidates fragmented homelab observability into a single pane without manual configuration, reducing operational overhead and enabling AI agents to autonomously diagnose infrastructure issues.
Homelab operators and infrastructure hobbyists managing multi-service environments with GPU/local-AI workloads who need rapid visibility without custom dashboards.
https://github.com/SikamikanikoBG/homelab-monitor
By SikamikanikoBG
How to Get It
claude plugins install SikamikanikoBG/homelab-monitor
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Check GPU utilization and temperature across my homelab servers right now
Trust Signals Auto-scanned
Community Pulse Emerging
Discussed on Hacker News
- Monitoring My Homelab, Simply — Hacker News · 170 pts
- Show HN: Homelab Monitoring Setup with Grafana — Hacker News · 155 pts
- Grafana for Homelab Monitoring–With MTLS — Hacker News · 3 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 203 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 203 GitHub stars; contributors unknown; last commit 0d ago; license MIT.