unraid
Centralized GraphQL-based management of Unraid infrastructure reduces operational overhead by consolidating Docker, VM, storage, and monitoring queries into …
Query, monitor, and manage Unraid servers via GraphQL API through MCP tools. Supports system info, Docker, VMs, array/parity, notifications, plugins, rclone, and live telemetry.
- Ask Claude to check disk array health and parity status across your Unraid servers
- Generate alerts when Docker containers fail or VM performance drops below thresholds
- Monitor CPU, memory, and storage usage in real-time to plan capacity upgrades
Centralized GraphQL-based management of Unraid infrastructure reduces operational overhead by consolidating Docker, VM, storage, and monitoring queries into a single API layer, enabling faster incident response and reducing manual server access.
Infrastructure teams managing multi-container Unraid deployments requiring programmatic system visibility and lifecycle automation.
https://github.com/dinglebear-ai/unraid
By dinglebear-ai
How to Get It
claude plugins install dinglebear-ai/unraid
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 disk array health and parity status across my Unraid servers
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 102 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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Evaluation
Scored from trust signals (evidence-eval-v1): 102 GitHub stars; contributors unknown; last commit 0d ago; license MIT.