Kube Check
Related Servers
Alternatives to Kube Check
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceEnables AI agents to audit Kubernetes manifests for configuration traps that pass linters but silently break production, via read-only tools to audit YAML, list known traps, and explain trap details.3MIT
- AlicenseNot gradedqualityCmaintenanceMCP server to lint and validate Kubernetes-related manifests(Helm, FluxCD, ArgoCD, Kustomize, etc.)27 PyPIMIT
- FlicenseNot gradedqualityDmaintenanceStatic audit of Kubernetes manifests via MCP, powered by kube-linter. Returns structured reports with severity, check ID, category, message, and remediation hints.-
- AlicenseNot gradedqualityCmaintenanceEnables agents to vet MCP servers and agent configurations before trusting them, using local static analysis to detect injection, dangerous capabilities, exfiltration paths, and CVEs, with policy-based gating for CI.47 npmMIT

EVIDIQ Bastionofficial
AlicenseNot gradedqualityBmaintenanceAudits infrastructure configurations (Dockerfiles, GitHub Actions, Kubernetes, Terraform/Compose) against 14 deterministic security rules, returning BLOCK/REVIEW/PASS verdicts and signing attestations. Helps agents verify deployment configs before applying them.1MIT- FlicenseNot gradedqualityBmaintenanceValidates OpenAPI documents, JSON Schemas, and JSON payloads. Also compares OpenAPI specs and displays breaking changes.-
TDQS
Scored across 3 tools
The three tools target distinct activities: API version lifecycle lookup (api_versions), manifest validation (check_manifests), and field schema documentation (field_help). There is mild overlap between api_versions and check_manifests since both surface deprecated/removed APIs, but the descriptions make the boundary clear (lookup vs. file-level validation).
All names are snake_case, which is good, but the patterns differ: api_versions is a noun phrase, check_manifests is verb_noun, and field_help is noun_noun. Readable but no single predictable convention.
Three focused tools is on the lean side but each covers a distinct, well-motivated capability for Kubernetes manifest checking. No filler tools and no obvious redundancy.
The surface covers the key lifecycle needs: API version/deprecation status, manifest validation with fixes, and field documentation including CRDs and Helm/Kustomize-aware behavior. Minor gaps like live-cluster validation or explicit schema browsing are acceptable for the stated scope.