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The server acts as a bridge between Claude/LLM agents and kubectl, handling command parsing, output serialization, and error propagation back to the model for agentic decision-making.","intents":["I want Claude to run kubectl commands directly without leaving the chat interface","I need an LLM agent to diagnose cluster issues by executing kubectl diagnostics","I want to automate Kubernetes operations through natural language instructions to Claude"],"best_for":["DevOps engineers building AI-assisted cluster management workflows","SRE teams automating incident response with LLM agents","Platform engineers integrating Kubernetes operations into Claude-based automation"],"limitations":["Requires kubectl to be installed and configured locally on the MCP server host — no remote kubectl proxy support","No built-in command sandboxing — all kubectl commands execute with the permissions of the server process","Output is serialized as text/JSON — binary outputs (e.g., logs with special characters) may require post-processing","No rate limiting or quota enforcement — can exhaust cluster API rate limits if agent loops excessively"],"requires":["Node.js 16+ (for MCP server runtime)","kubectl binary installed and in PATH","Valid kubeconfig file with cluster credentials","Claude API key (for Anthropic Claude integration)","Network access to Kubernetes API server"],"input_types":["text (kubectl command strings)","structured JSON (command parameters from LLM function calls)"],"output_types":["text (kubectl command output)","structured JSON (parsed kubectl responses)","error messages with exit codes"],"categories":["tool-use-integration","kubernetes-operations"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-server-kubernetes__cap_1","uri":"capability://data.processing.analysis.cluster.resource.querying.and.listing","name":"cluster resource querying and listing","description":"Retrieves and lists Kubernetes resources (pods, deployments, services, nodes, etc.) by executing kubectl get commands with structured output parsing, converting raw YAML/JSON into LLM-friendly formats. The server translates resource queries into appropriate kubectl invocations and parses responses into structured data that Claude can reason about and act upon.","intents":["I want Claude to check the status of all pods in a namespace","I need to list deployments and their replica counts across the cluster","I want Claude to find nodes with high resource utilization"],"best_for":["Cluster operators needing AI-assisted resource discovery and monitoring","Teams building intelligent dashboards that query cluster state via Claude","Incident responders who want Claude to gather cluster diagnostics"],"limitations":["Listing large resource sets (1000+ pods) may produce verbose output that exceeds LLM context windows","No built-in filtering or aggregation — complex queries require multiple kubectl invocations","Real-time streaming (watch) is not supported — only point-in-time snapshots","Custom resource definitions (CRDs) require explicit kubectl configuration"],"requires":["kubectl binary with cluster access","RBAC permissions to read target resources (get, list, watch)","Valid kubeconfig with appropriate cluster context"],"input_types":["text (resource type: pods, deployments, services, nodes, etc.)","text (namespace filter)","text (label selectors)"],"output_types":["structured JSON (parsed resource objects)","text (formatted kubectl output)","YAML (raw resource definitions)"],"categories":["data-processing-analysis","kubernetes-operations"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-server-kubernetes__cap_2","uri":"capability://automation.workflow.resource.creation.and.patching.via.declarative.yaml","name":"resource creation and patching via declarative yaml","description":"Creates and modifies Kubernetes resources by accepting YAML manifests and executing kubectl apply/patch commands, enabling Claude to generate or modify resource definitions and apply them to the cluster. The server handles YAML validation, conflict resolution, and server-side apply semantics to support both imperative and declarative workflows.","intents":["I want Claude to create a deployment from a generated manifest","I need Claude to patch a ConfigMap with updated configuration values","I want to apply a set of YAML manifests that Claude generates"],"best_for":["Infrastructure-as-code workflows where Claude generates and applies manifests","Teams automating resource provisioning through natural language","GitOps-adjacent workflows where Claude acts as a manifest generator"],"limitations":["No built-in validation of YAML syntax — invalid manifests will fail at kubectl apply time","Merge conflicts in strategic merge patches require manual resolution — no conflict resolution UI","Large manifests (>1MB) may hit kubectl size limits","No rollback support — failed applies require manual intervention or separate rollback commands"],"requires":["kubectl binary with cluster access","RBAC permissions to create/patch resources (create, patch, apply)","Valid YAML manifest format"],"input_types":["text (YAML manifest)","structured JSON (resource object that can be serialized to YAML)"],"output_types":["text (kubectl apply/patch output)","structured JSON (created/patched resource state)","error messages with validation details"],"categories":["automation-workflow","kubernetes-operations"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-server-kubernetes__cap_3","uri":"capability://data.processing.analysis.pod.log.streaming.and.retrieval","name":"pod log streaming and retrieval","description":"Retrieves pod logs by executing kubectl logs commands with support for multi-container pods, previous container logs, and log tailing. The server captures log output and returns it as structured text that Claude can analyze for errors, patterns, or anomalies without requiring direct pod access.","intents":["I want Claude to fetch logs from a failing pod to diagnose the issue","I need Claude to retrieve logs from the previous container instance after a crash","I want Claude to analyze application logs for error patterns"],"best_for":["Incident responders using Claude to diagnose pod failures","Teams building intelligent log analysis agents","DevOps engineers automating troubleshooting workflows"],"limitations":["Large log outputs (>10MB) may exceed LLM context limits — requires pagination or summarization","No real-time streaming — only point-in-time log retrieval","Previous logs (--previous flag) only available if pod has restarted","Log format is unstructured text — no built-in parsing for structured logs (JSON, syslog)"],"requires":["kubectl binary with cluster access","RBAC permissions to read pod logs (get logs)","Pod must be in a state where logs are accessible (not deleted)"],"input_types":["text (pod name)","text (namespace)","text (container name, optional)","text (log tail lines, optional)"],"output_types":["text (raw pod logs)","structured JSON (log entries if parsed)"],"categories":["data-processing-analysis","kubernetes-operations"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-server-kubernetes__cap_4","uri":"capability://automation.workflow.pod.execution.and.interactive.shell.access","name":"pod execution and interactive shell access","description":"Executes commands inside running pods via kubectl exec, enabling Claude to run diagnostics, collect metrics, or modify pod state directly. The server translates exec requests into kubectl exec invocations and captures output, supporting both one-off commands and interactive shell sessions for agentic exploration.","intents":["I want Claude to run a diagnostic command inside a pod to check application state","I need Claude to collect metrics or configuration from a running container","I want Claude to execute a script inside a pod to remediate an issue"],"best_for":["Incident responders needing Claude to run diagnostics inside pods","Teams building self-healing systems that execute remediation commands","DevOps engineers automating container inspection workflows"],"limitations":["Interactive shell sessions are not supported — only one-off command execution","Commands execute with the permissions of the container process — no privilege escalation","Output is captured as text — binary outputs or interactive programs may not work correctly","No timeout enforcement — long-running commands can block the MCP server","Requires the container to have a shell (sh, bash) — Alpine containers may lack tools"],"requires":["kubectl binary with cluster access","RBAC permissions to exec into pods (create exec)","Pod must be running and accessible","Container must have a shell available"],"input_types":["text (pod name)","text (namespace)","text (container name, optional)","text (command to execute)"],"output_types":["text (command output)","error messages with exit codes"],"categories":["automation-workflow","kubernetes-operations"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-server-kubernetes__cap_5","uri":"capability://tool.use.integration.port.forwarding.and.local.service.access","name":"port forwarding and local service access","description":"Establishes port forwarding tunnels to Kubernetes services via kubectl port-forward, allowing Claude agents to access cluster services locally for testing, debugging, or data collection. The server manages port-forward processes and provides connection details to the LLM for downstream tool integration.","intents":["I want Claude to access a database service inside the cluster for queries","I need Claude to test an internal API endpoint without exposing it publicly","I want Claude to collect metrics from a Prometheus instance running in the cluster"],"best_for":["Teams building intelligent cluster exploration agents","DevOps engineers automating internal service testing","Incident responders needing access to internal services for diagnostics"],"limitations":["Port forwarding is local to the MCP server host — not accessible from remote clients","Requires managing long-lived port-forward processes — no automatic cleanup on server restart","Port conflicts if multiple port-forwards target the same local port","No authentication/TLS support — forwarded connections are unencrypted","Forwarding to services (not pods) requires DNS resolution within the cluster"],"requires":["kubectl binary with cluster access","RBAC permissions to port-forward (create portforward)","Available local ports on the MCP server host","Network connectivity from MCP server to pod/service"],"input_types":["text (pod or service name)","text (namespace)","text (remote port)","text (local port, optional)"],"output_types":["structured JSON (port-forward connection details: localhost:port)","text (port-forward status)"],"categories":["tool-use-integration","kubernetes-operations"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-server-kubernetes__cap_6","uri":"capability://data.processing.analysis.cluster.context.and.kubeconfig.management","name":"cluster context and kubeconfig management","description":"Manages Kubernetes cluster contexts and kubeconfig files, allowing Claude to switch between clusters, list available contexts, and validate cluster connectivity. The server reads kubeconfig files, parses context definitions, and executes kubectl commands against specified contexts without requiring manual context switching.","intents":["I want Claude to list all available Kubernetes clusters in my kubeconfig","I need Claude to switch to a different cluster context and perform operations","I want Claude to validate connectivity to a specific cluster before executing commands"],"best_for":["Multi-cluster operators managing resources across environments","Teams automating cross-cluster deployments","DevOps engineers building cluster-agnostic automation"],"limitations":["Kubeconfig must be accessible on the MCP server host — no remote kubeconfig support","Context switching is per-command — no persistent context state across requests","No kubeconfig validation — invalid contexts will fail at kubectl invocation time","Credentials must be valid in kubeconfig — no support for external credential providers (e.g., AWS IAM)"],"requires":["kubectl binary with cluster access","Valid kubeconfig file (typically ~/.kube/config)","Credentials configured for target clusters"],"input_types":["text (context name)","text (cluster name)"],"output_types":["structured JSON (list of contexts and clusters)","text (current context)","error messages for invalid contexts"],"categories":["data-processing-analysis","kubernetes-operations"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-server-kubernetes__cap_7","uri":"capability://automation.workflow.resource.deletion.and.cleanup","name":"resource deletion and cleanup","description":"Deletes Kubernetes resources by executing kubectl delete commands with support for cascading deletion, grace periods, and force deletion. The server handles deletion policies and provides feedback on resource removal, enabling Claude to clean up resources as part of automation or remediation workflows.","intents":["I want Claude to delete a failed pod to trigger a restart","I need Claude to clean up old deployments and associated resources","I want Claude to remove resources that are blocking cluster operations"],"best_for":["Teams automating resource cleanup and garbage collection","Incident responders removing problematic resources","DevOps engineers building self-healing cluster systems"],"limitations":["Cascading deletion can remove dependent resources unexpectedly — requires careful policy specification","No dry-run support — deletions are immediate and cannot be previewed","Grace periods may delay actual deletion — long-running termination can block workflows","Force deletion (--force --grace-period=0) can leave orphaned resources"],"requires":["kubectl binary with cluster access","RBAC permissions to delete resources (delete)","Resource must exist and be accessible"],"input_types":["text (resource type)","text (resource name)","text (namespace)","text (deletion policy: cascade, orphan, background)"],"output_types":["text (kubectl delete output)","structured JSON (deletion status)","error messages for failed deletions"],"categories":["automation-workflow","kubernetes-operations"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-server-kubernetes__cap_8","uri":"capability://data.processing.analysis.resource.status.and.condition.monitoring","name":"resource status and condition monitoring","description":"Retrieves detailed resource status and conditions by executing kubectl describe commands and parsing status fields, enabling Claude to understand resource health, readiness, and failure reasons. The server extracts structured condition data (Ready, Available, Progressing) and presents it in a format suitable for LLM reasoning.","intents":["I want Claude to check why a deployment is not rolling out","I need Claude to understand the readiness status of pods in a service","I want Claude to identify the root cause of a resource failure from its conditions"],"best_for":["Incident responders diagnosing resource failures","Teams building intelligent health monitoring agents","DevOps engineers automating failure detection and alerting"],"limitations":["Condition messages are human-readable text — no structured parsing of error reasons","Status is point-in-time — no historical condition tracking","Some resources have complex nested status fields that require custom parsing","Condition details may be truncated in kubectl output"],"requires":["kubectl binary with cluster access","RBAC permissions to describe resources (get, describe)"],"input_types":["text (resource type)","text (resource name)","text (namespace)"],"output_types":["structured JSON (parsed conditions and status)","text (kubectl describe output)","error messages with failure reasons"],"categories":["data-processing-analysis","kubernetes-operations"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-server-kubernetes__cap_9","uri":"capability://safety.moderation.namespace.and.rbac.aware.command.execution","name":"namespace and rbac-aware command execution","description":"Executes kubectl commands with namespace scoping and respects RBAC permissions of the kubeconfig user, ensuring Claude operations are constrained to authorized resources. The server validates namespace access and fails gracefully when RBAC denies operations, preventing unauthorized resource access.","intents":["I want Claude to operate only within a specific namespace to avoid affecting other teams","I need Claude to respect RBAC permissions and fail safely on unauthorized operations","I want to audit which resources Claude can access based on my kubeconfig credentials"],"best_for":["Multi-tenant clusters where teams need isolated automation","Organizations enforcing RBAC policies for AI agent operations","Teams building compliant automation that respects access controls"],"limitations":["RBAC enforcement is delegated to kubectl — no client-side permission checking","Namespace scoping is per-command — no persistent namespace context","No support for service account impersonation — uses kubeconfig user identity","RBAC errors are returned as kubectl error messages — no structured permission denial details"],"requires":["kubectl binary with cluster access","Valid kubeconfig with appropriate RBAC roles","Cluster must have RBAC enabled"],"input_types":["text (namespace)","text (kubectl command with namespace flag)"],"output_types":["text (kubectl output or RBAC error)","error messages indicating permission denied"],"categories":["safety-moderation","kubernetes-operations"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":38,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+ (for MCP server runtime)","kubectl binary installed and in PATH","Valid kubeconfig file with cluster credentials","Claude API key (for Anthropic Claude integration)","Network access to Kubernetes API server","kubectl binary with cluster access","RBAC permissions to read target resources (get, list, watch)","Valid kubeconfig with appropriate cluster context","RBAC permissions to create/patch resources (create, patch, apply)","Valid YAML manifest format"],"failure_modes":["Requires kubectl to be installed and configured locally on the MCP server host — no remote kubectl proxy support","No built-in command sandboxing — all kubectl commands execute with the permissions of the server process","Output is serialized as text/JSON — binary outputs (e.g., logs with special characters) may require post-processing","No rate limiting or quota enforcement — can exhaust cluster API rate limits if agent loops excessively","Listing large resource sets (1000+ pods) may produce verbose output that exceeds LLM context windows","No built-in filtering or aggregation — complex queries require multiple kubectl invocations","Real-time streaming (watch) is not supported — only point-in-time snapshots","Custom resource definitions (CRDs) require explicit kubectl configuration","No built-in validation of YAML syntax — invalid manifests will fail at kubectl apply time","Merge conflicts in strategic merge patches require manual resolution — no conflict resolution UI","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.470421060667946,"quality":0.3,"ecosystem":0.45,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.903Z","last_scraped_at":"2026-05-03T14:23:32.625Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":11248,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=npm-mcp-server-kubernetes","compare_url":"https://unfragile.ai/compare?artifact=npm-mcp-server-kubernetes"}},"signature":"xUm+Eavt3Wxthz6T6ZFVdrG0CJPzbGcfr0FNNqU1fP8/1MAKvQLilFHFrXYRzV5UTn4xl08qJ5bVH4B3kfonCw==","signedAt":"2026-06-21T16:14:19.323Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-mcp-server-kubernetes","artifact":"https://unfragile.ai/npm-mcp-server-kubernetes","verify":"https://unfragile.ai/api/v1/verify?slug=npm-mcp-server-kubernetes","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}