A
licenseNot graded
qualityA
maintenanceEnables AI agents to safely observe and troubleshoot Kubernetes workloads, with limited recovery actions like pod deletion and Helm rollbacks, while preventing dangerous modifications.
18
Apache 2.0
homelab-mcp
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TDQS
B3.2/5.0
Scored across 10 tools
Disambiguation5/5
Each tool targets a distinct aspect of cluster management: summary, pods, deployments, events, nodes, logs, scaling, restart, and configuration. No overlapping purposes.
Naming Consistency3/5
Tools use a mix of verb_noun (delete_pod, list_deployments) and noun_noun (cluster_summary, node_health) patterns. While mostly clear, the inconsistency may cause minor confusion for an agent.
Tool Count5/5
10 tools provide a well-scoped set for monitoring and managing a Kubernetes cluster, covering essential operations without being overwhelming.
Completeness3/5
Covers core observability and common actions (restart, scale, delete pod) but lacks CRUD for deployments and pods, leaving gaps for full lifecycle management.
Maintenance
ActivityMaintained
ResponsivenessNo issues