mcp-k8s-server
An MCP (Model Context Protocol) server that provides Kubernetes management tools to AI clients, enabling operations such as applying manifests (including server-side apply), dry-run validation, viewing/scaling workload resources, log streaming, port-forwarding, and multi-cluster context switching.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
The README makes a general claim to 'never expose secret values, only metadata' and mentions security-first posture, but provides no concrete details on transport security (TLS), authentication for MCP clients, RBAC scoping enforcement inside the server, audit logging configuration, or dependency/security posture. Kubernetes permissions provided via kubeconfig are a primary security boundary; if RBAC is overly broad, tool access can be high impact.
⚡ Reliability
Best When
You have an MCP-capable AI client and a controlled environment where the server can safely execute Kubernetes API actions using a known kubeconfig/service account and scoped RBAC permissions.
Avoid When
You cannot restrict RBAC permissions and network access; or you need documented rate limits, strong auth, and concrete error/pagination/retry contracts for reliable agent automation.
Use Cases
- • AI-assisted Kubernetes operations (CRUD for Deployments/StatefulSets/DaemonSets/Pods)
- • Manifest validation via dry-run before applying changes
- • Server-side apply automation for safer updates
- • Troubleshooting via pod log streaming and event filtering
- • Operational support such as scaling and job/cronjob interactions
- • Port-forwarding/tunnel management to reach in-cluster services
- • Managing and switching between multiple Kubernetes clusters from one assistant session
Not For
- • Running as a public, internet-exposed service without strong network and authentication controls
- • Unrestricted cluster administration from untrusted/anonymous clients
- • High-assurance workflows requiring formally verified policy enforcement and audit guarantees (not evidenced in provided materials)
Interface
Authentication
The README only shows an example of passing KUBECONFIG_PATH to the server; it does not document an external auth mechanism for MCP clients (e.g., API key/OAuth), nor scope granularity for tool calls.
Pricing
No pricing information provided (appears to be open-source/self-hosted).
Agent Metadata
Known Gotchas
- ⚠ Kubernetes operations can be destructive; tool calls that 'apply' arbitrary resources require strict RBAC and client-side validation.
- ⚠ Port-forwarding/tunneling requires careful session lifecycle handling (start/stop) to avoid lingering access.
- ⚠ Multi-cluster support increases risk of applying manifests to the wrong cluster context without strong safeguards.
- ⚠ Dry-run validation depends on kube-apiserver behavior and permissions; agents may misinterpret dry-run results if RBAC differs from real apply.
Alternatives
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Scores are editorial opinions as of 2026-04-04.