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Supports full kubectl API surface including resource queries, deployments, logs, and cluster inspection without requiring direct cluster API access.","intents":["Run kubectl commands from Claude without leaving the chat interface","Automate Kubernetes operations through natural language instructions","Debug cluster issues by querying pod status, logs, and events in real-time","Execute multi-step kubectl workflows triggered by Claude reasoning"],"best_for":["DevOps engineers and SREs using Claude for cluster management","Platform teams building AI-assisted Kubernetes automation","Developers debugging Kubernetes deployments interactively"],"limitations":["Requires kubectl binary installed locally on the MCP server host — no remote kubectl support","No built-in kubectl output parsing — returns raw text that Claude must interpret","Security model depends entirely on kubectl's kubeconfig authentication — no additional RBAC enforcement at MCP layer","Subprocess execution adds ~500ms-2s latency per command depending on cluster responsiveness","No streaming support for long-running commands like kubectl logs -f"],"requires":["kubectl binary installed and in PATH","Valid kubeconfig file configured for target cluster","MCP client compatible with tool-use protocol (Claude 3.5+, or other MCP-aware LLMs)","Network access to Kubernetes API server from MCP server host"],"input_types":["text (kubectl command arguments)","structured tool parameters (namespace, resource type, name)"],"output_types":["text (kubectl stdout/stderr)","structured JSON (when kubectl outputs JSON via -o json flag)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-server-kubernetes__cap_1","uri":"capability://data.processing.analysis.kubernetes.resource.querying.and.inspection","name":"kubernetes resource querying and inspection","description":"Provides MCP tools to query Kubernetes resources (pods, deployments, services, configmaps, secrets, etc.) by translating high-level queries into kubectl get/describe commands with JSON output parsing. Enables Claude to inspect cluster state, resource relationships, and metadata without requiring knowledge of kubectl syntax or JSON path expressions. Returns structured resource information suitable for reasoning about cluster configuration and status.","intents":["Check pod status and readiness across namespaces","Inspect deployment replicas, image versions, and resource requests","List services and their endpoints to understand network topology","Query ConfigMaps and Secrets to verify application configuration","Examine resource events and conditions for troubleshooting"],"best_for":["On-call engineers needing rapid cluster state visibility","Platform engineers building self-service debugging tools","Teams automating cluster health checks and compliance audits"],"limitations":["Requires kubectl RBAC permissions for each resource type queried — no fallback if user lacks read access","JSON parsing assumes kubectl -o json output format — may fail if cluster uses non-standard output","No caching of cluster state — each query hits the API server, creating potential rate-limiting issues on large clusters","Cannot query custom resource definitions (CRDs) without explicit tool registration per CRD type"],"requires":["kubectl binary with read permissions for target resources","RBAC permissions matching the kubeconfig user's role","Cluster API server reachable from MCP server host"],"input_types":["text (resource type, namespace, name filters)","structured parameters (namespace, label selectors)"],"output_types":["structured JSON (parsed kubectl output)","text (formatted resource descriptions)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-server-kubernetes__cap_2","uri":"capability://data.processing.analysis.pod.log.retrieval.and.streaming","name":"pod log retrieval and streaming","description":"Retrieves pod logs from Kubernetes clusters by executing kubectl logs commands with support for multi-container pods, previous container logs, and log filtering. Captures stdout/stderr from running or terminated containers and returns them as text suitable for Claude analysis. Handles container selection, timestamp filtering, and tail options to retrieve relevant log segments without overwhelming context windows.","intents":["Fetch application logs to diagnose runtime errors or crashes","Retrieve logs from previous container restarts to investigate failures","Get logs from specific containers in multi-container pods","Filter logs by timestamp to isolate events during a specific incident window"],"best_for":["SREs troubleshooting application failures in production","Developers debugging containerized applications in Kubernetes","Teams building automated incident response workflows"],"limitations":["No streaming support — kubectl logs returns complete log history, which may be gigabytes for long-running pods","Context window limits prevent retrieving very large log files — Claude may truncate logs without warning","No log aggregation — only retrieves logs from single pod, not across deployment replicas","Requires pod to exist and have logs available — fails silently if pod is in pending state or logs are unavailable"],"requires":["kubectl binary with logs read permission","Target pod must exist in cluster","RBAC permissions for pods/log subresource"],"input_types":["text (pod name, namespace, container name)","structured parameters (tail lines, timestamps, previous flag)"],"output_types":["text (raw log output)","structured text (parsed log lines with timestamps)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-server-kubernetes__cap_3","uri":"capability://automation.workflow.deployment.and.resource.management.operations","name":"deployment and resource management operations","description":"Executes kubectl commands to modify Kubernetes resources including scaling deployments, rolling restarts, applying manifests, and deleting resources. Translates high-level operational intents (e.g., 'scale this deployment to 5 replicas') into kubectl apply/patch/delete commands with error handling and confirmation. Supports both imperative commands and declarative manifest application for infrastructure-as-code workflows.","intents":["Scale deployments up or down based on load or incident response","Trigger rolling restarts to apply configuration changes","Apply Kubernetes manifests to deploy new versions or configurations","Delete resources to clean up failed deployments or test environments","Update resource limits or environment variables without redeploying"],"best_for":["Platform teams automating deployment workflows","SREs performing incident response operations","DevOps engineers building self-service deployment tools"],"limitations":["No dry-run validation by default — changes apply immediately unless explicitly using --dry-run flag","No rollback support — must manually revert to previous manifest or use kubectl rollout undo","Manifest application requires valid YAML — no schema validation or linting before apply","No approval workflows or change gates — any MCP client with kubectl access can modify resources","Requires write RBAC permissions for all modified resource types"],"requires":["kubectl binary with write permissions (create, update, delete, patch)","RBAC permissions matching the kubeconfig user's role","Valid Kubernetes manifests in YAML format for apply operations"],"input_types":["text (kubectl command arguments)","structured parameters (deployment name, replica count, image)","YAML manifests (for apply operations)"],"output_types":["text (kubectl operation results)","structured JSON (operation status and resource state)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-server-kubernetes__cap_4","uri":"capability://data.processing.analysis.cluster.event.and.status.monitoring","name":"cluster event and status monitoring","description":"Retrieves Kubernetes events and resource status conditions by executing kubectl get events and describe commands, parsing event timestamps and messages to provide cluster activity visibility. Enables Claude to understand recent cluster changes, failures, and warnings without direct API polling. Supports filtering by namespace, resource type, and time range to focus on relevant events.","intents":["Understand why a pod failed to start by examining recent events","Track deployment rollout progress and identify stuck replicas","Identify resource constraint issues (CPU, memory, disk) from events","Correlate application errors with cluster-level events and warnings"],"best_for":["On-call engineers investigating cluster incidents","Platform teams building observability dashboards","Teams automating incident detection and alerting"],"limitations":["Events are ephemeral — Kubernetes only retains events for ~1 hour by default, older events are lost","No event aggregation across namespaces without querying each namespace separately","Event messages are unstructured text — Claude must parse natural language descriptions","No filtering by event severity or type at kubectl level — requires post-processing"],"requires":["kubectl binary with events read permission","RBAC permissions for events subresource"],"input_types":["text (namespace, resource type, time range)","structured parameters (event filters)"],"output_types":["text (event descriptions and messages)","structured JSON (parsed event objects with timestamps)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-server-kubernetes__cap_5","uri":"capability://automation.workflow.multi.cluster.context.switching.and.management","name":"multi-cluster context switching and management","description":"Supports switching between multiple Kubernetes clusters defined in kubeconfig by translating MCP tool calls into kubectl context commands. Allows Claude to query or modify resources across different clusters (dev, staging, production) within a single conversation by managing kubectl context state. Validates cluster accessibility and provides context information to prevent accidental operations on wrong clusters.","intents":["Switch between dev and production clusters for different operations","Compare resource state across multiple environments","Execute operations on specific clusters without manual context switching","Verify cluster connectivity before executing critical operations"],"best_for":["Teams managing multiple Kubernetes environments","Platform engineers building multi-cluster automation","DevOps teams with dev/staging/production cluster separation"],"limitations":["Context switching is stateful — requires careful tracking to avoid executing commands on wrong cluster","No built-in safeguards against production cluster modifications — relies on RBAC and user intent","kubeconfig must contain all target clusters — cannot dynamically discover or add clusters","Context switching adds latency to each operation — no connection pooling or persistent cluster clients"],"requires":["kubectl binary with context switching support","kubeconfig file containing all target clusters","Network access to all cluster API servers"],"input_types":["text (cluster context name)","structured parameters (cluster identifier)"],"output_types":["text (current context information)","structured JSON (available contexts and cluster details)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-server-kubernetes__cap_6","uri":"capability://automation.workflow.namespace.isolation.and.resource.scoping","name":"namespace isolation and resource scoping","description":"Provides MCP tools to query and operate on resources within specific Kubernetes namespaces, with automatic namespace parameter handling in kubectl commands. Enables Claude to scope operations to development, staging, or production namespaces without requiring explicit namespace flags in every command. Supports namespace listing, creation, and deletion for environment management workflows.","intents":["Isolate queries and operations to specific namespaces to prevent cross-environment accidents","List all namespaces to understand cluster organization","Create or delete namespaces for new environments or cleanup","Query resources across all namespaces when needed for cluster-wide visibility"],"best_for":["Teams using namespace-based multi-tenancy","Platform teams managing multiple application environments","DevOps engineers enforcing namespace isolation policies"],"limitations":["Namespace isolation is logical, not cryptographic — RBAC enforcement depends on cluster configuration","No namespace quota enforcement at MCP layer — relies on Kubernetes ResourceQuota objects","Cross-namespace operations require explicit all-namespaces flag — no automatic discovery","Namespace deletion is destructive and irreversible — no confirmation or dry-run by default"],"requires":["kubectl binary with namespace read/write permissions","RBAC permissions for namespace operations"],"input_types":["text (namespace name)","structured parameters (namespace filters)"],"output_types":["text (namespace list and status)","structured JSON (namespace metadata)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-server-kubernetes__cap_7","uri":"capability://safety.moderation.rbac.and.permission.verification","name":"rbac and permission verification","description":"Checks Kubernetes RBAC permissions by executing kubectl auth can-i commands to verify whether the current user can perform specific actions on resources. Enables Claude to validate permissions before attempting operations and provide informative error messages when access is denied. Supports checking permissions for different verbs (get, create, delete, patch) and resource types.","intents":["Verify that current kubeconfig user has permission to perform requested operation","Diagnose permission denied errors by checking RBAC configuration","Prevent failed operations by checking permissions before execution","Understand what operations are available based on current user role"],"best_for":["Teams with strict RBAC policies and role-based access control","Platform engineers building permission-aware automation","DevOps teams troubleshooting access control issues"],"limitations":["Permission checks are point-in-time — RBAC policies may change between check and operation","No support for conditional RBAC rules (e.g., resource labels, namespaces) — only basic verb/resource checks","Requires kubectl auth plugin support — may not work with all authentication backends","No caching of permission results — each check queries the API server"],"requires":["kubectl binary with auth can-i support","RBAC authorization enabled on cluster"],"input_types":["text (verb, resource type, namespace)","structured parameters (action to verify)"],"output_types":["text (yes/no permission result)","structured JSON (detailed permission information)"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["kubectl binary installed and in PATH","Valid kubeconfig file configured for target cluster","MCP client compatible with tool-use protocol (Claude 3.5+, or other MCP-aware LLMs)","Network access to Kubernetes API server from MCP server host","kubectl binary with read permissions for target resources","RBAC permissions matching the kubeconfig user's role","Cluster API server reachable from MCP server host","kubectl binary with logs read permission","Target pod must exist in cluster","RBAC permissions for pods/log subresource"],"failure_modes":["Requires kubectl binary installed locally on the MCP server host — no remote kubectl support","No built-in kubectl output parsing — returns raw text that Claude must interpret","Security model depends entirely on kubectl's kubeconfig authentication — no additional RBAC enforcement at MCP layer","Subprocess execution adds ~500ms-2s latency per command depending on cluster responsiveness","No streaming support for long-running commands like kubectl logs -f","Requires kubectl RBAC permissions for each resource type queried — no fallback if user lacks read access","JSON parsing assumes kubectl -o json output format — may fail if cluster uses non-standard output","No caching of cluster state — each query hits the API server, creating potential rate-limiting issues on large clusters","Cannot query custom resource definitions (CRDs) without explicit tool registration per CRD type","No streaming support — kubectl logs returns complete log history, which may be gigabytes for long-running pods","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.470421060667946,"quality":0.26,"ecosystem":0.55,"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":"2026-05-24T12:16:23.902Z","last_scraped_at":"2026-05-03T14:04:47.472Z","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=mcp-server-kubernetes","compare_url":"https://unfragile.ai/compare?artifact=mcp-server-kubernetes"}},"signature":"CsFaUydzs0r90GgZYiBICIggGC0q/VXer7gwe6IHDV0zkEHpqIuXdOWnzxcHmeKQXwxMMwvNnFJmHthqccF/Ag==","signedAt":"2026-06-22T04:05:20.763Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mcp-server-kubernetes","artifact":"https://unfragile.ai/mcp-server-kubernetes","verify":"https://unfragile.ai/api/v1/verify?slug=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"}}