{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm_npm-kubernetes-mcp-server","slug":"npm-kubernetes-mcp-server","name":"kubernetes-mcp-server","type":"mcp","url":"https://www.npmjs.com/package/kubernetes-mcp-server","page_url":"https://unfragile.ai/npm-kubernetes-mcp-server","categories":["mcp-servers"],"tags":["mcp","kubernetes","openshift","model context protocol","model","context","protocol"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm_npm-kubernetes-mcp-server__cap_0","uri":"capability://tool.use.integration.kubernetes.cluster.introspection.via.mcp.protocol","name":"kubernetes cluster introspection via mcp protocol","description":"Exposes Kubernetes API resources (pods, deployments, services, configmaps, secrets, etc.) as MCP tools that LLM agents can invoke. Uses the Kubernetes client library to authenticate against kubeconfig and translate kubectl-equivalent queries into structured resource listings with full metadata, enabling agents to inspect cluster state without direct kubectl access.","intents":["Query current pod status and resource usage across namespaces from an LLM agent","Retrieve deployment configurations and replica counts to diagnose scaling issues","List available services and their endpoints for network troubleshooting","Inspect ConfigMaps and Secrets metadata (without exposing sensitive values) for configuration auditing"],"best_for":["DevOps teams building AI-assisted cluster management agents","Platform engineers integrating Kubernetes observability into LLM workflows","SREs automating incident response with context-aware AI assistants"],"limitations":["Requires valid kubeconfig with appropriate RBAC permissions — cannot escalate privileges beyond authenticated user","Returns metadata only; does not stream real-time events or watch resources for changes","No built-in caching — each query hits the Kubernetes API directly, adding latency for large clusters","Limited to single cluster per MCP server instance — multi-cluster requires multiple server instances"],"requires":["Node.js 16+","Valid kubeconfig file with cluster credentials","kubectl CLI installed (for authentication context)","RBAC permissions matching the authenticated user's role"],"input_types":["resource type (string: 'pods', 'deployments', 'services', etc.)","namespace (string, optional — defaults to 'default')","label selectors (string, optional — for filtering)"],"output_types":["structured JSON with resource metadata","resource lists with status fields","error messages for permission or connectivity issues"],"categories":["tool-use-integration","kubernetes-observability"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-kubernetes-mcp-server__cap_1","uri":"capability://tool.use.integration.namespace.scoped.resource.filtering.and.listing","name":"namespace-scoped resource filtering and listing","description":"Implements namespace-aware filtering for Kubernetes resources, allowing agents to query resources within specific namespaces or across all namespaces. Uses the Kubernetes client's namespace parameter to scope API calls and returns filtered lists with namespace context preserved in metadata, enabling multi-tenant cluster operations.","intents":["List all pods in a specific namespace to check application health","Query resources across all namespaces to audit cluster-wide configurations","Filter deployments by namespace to isolate team-specific infrastructure","Retrieve namespace-scoped secrets for environment-specific credential management"],"best_for":["Multi-tenant Kubernetes clusters with namespace isolation","Teams managing separate environments (dev, staging, prod) via namespaces","Agents requiring namespace-scoped RBAC enforcement"],"limitations":["Respects RBAC — agent can only list namespaces and resources the authenticated user has permission to access","No namespace creation/deletion — read-only for namespace enumeration","Cross-namespace queries require explicit permission grants in RBAC policies"],"requires":["Kubernetes cluster with namespace support","RBAC role allowing 'list' and 'get' verbs on target resources","kubeconfig with namespace context configured"],"input_types":["namespace name (string, optional)","resource type (string)","label selector (string, optional)"],"output_types":["filtered resource list with namespace metadata","empty list if no resources match criteria","permission denied error if RBAC denies access"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-kubernetes-mcp-server__cap_10","uri":"capability://tool.use.integration.openshift.specific.resource.querying","name":"openshift-specific resource querying","description":"Extends Kubernetes resource querying to support OpenShift-specific resources (Routes, Projects, DeploymentConfigs, ImageStreams, etc.) using the same MCP tool interface. Detects OpenShift cluster and exposes OpenShift API groups alongside standard Kubernetes resources, enabling agents to manage OpenShift deployments with the same tool set.","intents":["Query OpenShift Routes to understand external service exposure and TLS configuration","Inspect DeploymentConfigs and ImageStreams for OpenShift-native application deployments","List OpenShift Projects to understand multi-tenant organization","Retrieve OpenShift-specific metadata for compliance and configuration auditing"],"best_for":["Teams managing OpenShift clusters with AI agents","Hybrid Kubernetes/OpenShift environments requiring unified tooling","OpenShift operators and platform teams automating cluster management"],"limitations":["OpenShift-specific features only available on OpenShift clusters — gracefully degrades on vanilla Kubernetes","DeploymentConfig deprecation — newer OpenShift versions prefer Deployments","ImageStream integration requires OpenShift image registry access","No support for OpenShift-specific security features (SecurityContextConstraints) beyond metadata inspection"],"requires":["OpenShift cluster (3.11+) or vanilla Kubernetes cluster","RBAC permission to access OpenShift resources (routes, projects, deploymentconfigs, imagestreams)","kubeconfig with OpenShift cluster context"],"input_types":["OpenShift resource type (string: 'route', 'project', 'deploymentconfig', 'imagestream')","resource name (string, optional)","namespace/project (string, optional)"],"output_types":["OpenShift resource spec and status","route hostname and TLS configuration","ImageStream tags and image references","DeploymentConfig triggers and rollout configuration"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-kubernetes-mcp-server__cap_2","uri":"capability://tool.use.integration.pod.and.container.status.inspection","name":"pod and container status inspection","description":"Provides detailed pod status including container states, restart counts, resource requests/limits, and node assignments. Queries the Kubernetes API for pod metadata and status subresources, returning structured data about container readiness, phase transitions, and resource allocation to help agents diagnose pod health and performance issues.","intents":["Check if a pod is running and ready to receive traffic","Identify pods that are crashing or in CrashLoopBackOff state","Retrieve container resource requests and limits to diagnose OOM or CPU throttling","Find which node a pod is scheduled on for infrastructure debugging"],"best_for":["Incident response agents diagnosing pod failures","Automated health-check systems monitoring application readiness","Cost optimization tools analyzing resource allocation vs actual usage"],"limitations":["Does not stream logs — separate capability required for container logs","Status reflects point-in-time snapshot; does not track historical state changes","Resource metrics (CPU, memory actual usage) require metrics-server — status only shows requests/limits","Cannot modify pod state or trigger restarts through this capability"],"requires":["Kubernetes cluster with pods deployed","RBAC permission to 'get' pods and 'get' pods/status","Valid kubeconfig authentication"],"input_types":["pod name (string)","namespace (string, optional)"],"output_types":["structured JSON with pod phase, conditions, container states","container restart count and last state information","resource requests/limits per container"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-kubernetes-mcp-server__cap_3","uri":"capability://tool.use.integration.deployment.and.replicaset.configuration.retrieval","name":"deployment and replicaset configuration retrieval","description":"Queries deployment and ReplicaSet resources to return pod templates, replica counts, update strategies, and selector labels. Uses the Kubernetes API to fetch spec and status fields, enabling agents to understand scaling configuration, image versions, and rollout state without inspecting individual pods.","intents":["Check current and desired replica counts to diagnose scaling mismatches","Retrieve pod template specs to verify image versions and environment variables","Inspect update strategy (RollingUpdate, Recreate) to understand deployment behavior","List ReplicaSets associated with a deployment to track rollout history"],"best_for":["Deployment automation agents managing application scaling","Configuration auditing systems verifying image versions across environments","Rollout analysis tools tracking deployment progress and health"],"limitations":["Does not trigger deployments or scaling — read-only capability","Rollout history limited to ReplicaSets in cluster; does not access external registries for image metadata","No support for Helm values or templating — returns raw Kubernetes objects only","Cannot detect drift between desired and actual pod templates without comparing individual pods"],"requires":["Kubernetes cluster with Deployment or ReplicaSet resources","RBAC permission to 'get' and 'list' deployments and replicasets","kubeconfig with cluster access"],"input_types":["deployment name (string)","namespace (string, optional)","resource type (string: 'deployment' or 'replicaset')"],"output_types":["deployment spec with pod template and update strategy","status with current and desired replica counts","list of associated ReplicaSets with revision numbers"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-kubernetes-mcp-server__cap_4","uri":"capability://tool.use.integration.service.and.endpoint.discovery","name":"service and endpoint discovery","description":"Retrieves Service resources and their associated Endpoints, exposing cluster DNS names, port mappings, and backend pod addresses. Queries the Kubernetes API for Service specs and Endpoint subresources, enabling agents to understand network topology and service routing without manual DNS lookups or port-forwarding.","intents":["Discover available services and their DNS names for inter-service communication","Retrieve service port mappings to understand load balancing configuration","List endpoints backing a service to verify pod connectivity","Identify services with no endpoints (broken routing) for troubleshooting"],"best_for":["Network debugging agents diagnosing service connectivity issues","Service mesh integration tools mapping cluster topology","Load balancing configuration auditors verifying endpoint health"],"limitations":["Does not perform actual connectivity tests — returns endpoint addresses only","Endpoint data is point-in-time; does not track endpoint churn or health check failures","No support for external services or DNS CNAME resolution","Cannot modify service routing or create new services through this capability"],"requires":["Kubernetes cluster with Service resources","RBAC permission to 'get' and 'list' services and endpoints","kubeconfig with cluster access"],"input_types":["service name (string)","namespace (string, optional)","resource type (string: 'service' or 'endpoints')"],"output_types":["service spec with ports, selectors, and cluster IP","endpoint addresses and ports for backend pods","service type (ClusterIP, NodePort, LoadBalancer, ExternalName)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-kubernetes-mcp-server__cap_5","uri":"capability://tool.use.integration.configmap.and.secret.metadata.inspection","name":"configmap and secret metadata inspection","description":"Retrieves ConfigMap and Secret resource metadata including keys, data size, and creation timestamps, without exposing sensitive values. Uses the Kubernetes API to fetch resource metadata and key lists, enabling agents to audit configuration and secret usage without accessing plaintext credentials or large data payloads.","intents":["List ConfigMap keys to verify configuration is present without reading values","Audit Secret resources to identify unused or stale credentials","Check ConfigMap size and key count to diagnose configuration bloat","Verify ConfigMap and Secret ownership and creation timestamps for compliance"],"best_for":["Security auditing agents verifying secret management practices","Configuration management tools tracking ConfigMap changes","Compliance systems ensuring proper secret lifecycle management"],"limitations":["Does not return ConfigMap or Secret values — metadata only for security","Cannot detect if secrets are actually used by pods — requires separate pod inspection","No change tracking or audit log access — returns current state only","Cannot create, update, or delete ConfigMaps or Secrets through this capability"],"requires":["Kubernetes cluster with ConfigMap or Secret resources","RBAC permission to 'get' and 'list' configmaps and secrets","kubeconfig with cluster access"],"input_types":["resource name (string)","namespace (string, optional)","resource type (string: 'configmap' or 'secret')"],"output_types":["resource metadata with creation timestamp and owner references","list of keys without values","data size and key count"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-kubernetes-mcp-server__cap_6","uri":"capability://tool.use.integration.container.log.streaming.and.retrieval","name":"container log streaming and retrieval","description":"Fetches container logs from pods using the Kubernetes API logs endpoint, supporting tail limits, timestamp filtering, and multi-container selection. Streams or buffers log data and returns structured output with container context, enabling agents to diagnose application issues without kubectl access or log aggregation systems.","intents":["Retrieve recent logs from a failing pod to diagnose crash causes","Tail logs from a specific container to monitor real-time application behavior","Fetch logs with timestamps to correlate events across multiple containers","Get previous logs from a restarted container to understand failure history"],"best_for":["Incident response agents diagnosing application failures","Automated troubleshooting systems analyzing error patterns","Development teams debugging application behavior in cluster"],"limitations":["Limited to logs stored on node — does not access external log aggregation systems","Log retention depends on container runtime and node disk space — old logs may be unavailable","Large log streams may timeout or consume significant memory — requires pagination for high-volume logs","Cannot filter logs by level or pattern — returns raw log output only"],"requires":["Kubernetes cluster with running or recently-terminated pods","RBAC permission to 'get' pods/log","kubeconfig with cluster access","Pod must exist and have container logs available"],"input_types":["pod name (string)","namespace (string, optional)","container name (string, optional — defaults to first container)","tail lines (integer, optional — default 100)","timestamps (boolean, optional — include timestamps in output)","previous (boolean, optional — fetch logs from previous container instance)"],"output_types":["raw log lines with optional timestamps","error messages if pod or container not found","truncation warnings if log stream exceeds size limits"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-kubernetes-mcp-server__cap_7","uri":"capability://tool.use.integration.node.and.cluster.resource.inspection","name":"node and cluster resource inspection","description":"Queries Node resources to retrieve capacity, allocatable resources, and node conditions (Ready, MemoryPressure, DiskPressure, etc.). Uses the Kubernetes API to fetch node metadata and status, enabling agents to understand cluster capacity and node health without metrics-server or custom monitoring.","intents":["Check node capacity and allocatable resources to diagnose scheduling failures","Identify nodes with pressure conditions (memory, disk) affecting pod placement","Verify node readiness and taints/tolerations for cluster health assessment","Retrieve node labels and annotations for infrastructure topology understanding"],"best_for":["Cluster capacity planning agents optimizing resource allocation","Node health monitoring systems detecting infrastructure issues","Scheduling analysis tools diagnosing pod placement failures"],"limitations":["Returns capacity and allocatable resources only — does not include actual usage metrics","Node conditions are point-in-time snapshots — does not track condition history","Cannot modify node taints, labels, or cordoning through this capability","Requires metrics-server for actual CPU/memory usage data"],"requires":["Kubernetes cluster with nodes","RBAC permission to 'get' and 'list' nodes","kubeconfig with cluster access"],"input_types":["node name (string, optional — lists all nodes if omitted)","label selector (string, optional)"],"output_types":["node capacity and allocatable resources","node conditions and status","taints, labels, and annotations","list of all nodes with summary data"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-kubernetes-mcp-server__cap_8","uri":"capability://tool.use.integration.custom.resource.definition.crd.querying","name":"custom resource definition (crd) querying","description":"Supports querying custom resources defined via CustomResourceDefinitions (CRDs), allowing agents to inspect application-specific Kubernetes objects beyond built-in resource types. Uses the Kubernetes API's dynamic client to handle arbitrary CRD schemas, returning structured data for custom resources with full metadata and spec access.","intents":["Query custom resources (e.g., Istio VirtualServices, Prometheus Rules) for application configuration","Inspect CRD instances to verify custom resource state and compliance","List custom resources across namespaces to audit application-specific configurations","Retrieve CRD metadata to understand custom resource ownership and relationships"],"best_for":["Agents managing service mesh or observability platforms with CRDs","Teams using custom operators with application-specific resource types","Multi-cluster management systems auditing custom resource configurations"],"limitations":["Requires knowledge of CRD group, version, and kind — no automatic CRD discovery","Schema validation depends on CRD definition — no built-in schema enforcement","Cannot create, update, or delete custom resources through this capability","No support for CRD subresources (status, scale) — requires separate queries"],"requires":["Kubernetes cluster with CRDs installed","RBAC permission to 'get' and 'list' custom resources","kubeconfig with cluster access","Knowledge of CRD group, version, and kind"],"input_types":["CRD group (string, e.g., 'networking.istio.io')","CRD version (string, e.g., 'v1beta1')","CRD kind (string, e.g., 'VirtualService')","resource name (string, optional)","namespace (string, optional)"],"output_types":["custom resource spec and status","custom resource metadata and ownership","list of custom resources matching criteria"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-kubernetes-mcp-server__cap_9","uri":"capability://tool.use.integration.mcp.tool.registration.and.schema.exposure","name":"mcp tool registration and schema exposure","description":"Implements the Model Context Protocol by registering Kubernetes query capabilities as MCP tools with JSON Schema definitions, enabling LLM clients to discover and invoke Kubernetes operations through standardized tool-calling interfaces. Uses MCP server SDK to define tool schemas, handle tool invocations, and return structured results compatible with Claude and other MCP-aware LLMs.","intents":["Enable Claude and other LLMs to discover available Kubernetes operations via MCP tool listing","Invoke Kubernetes queries from LLM agents using standardized tool-calling syntax","Provide structured tool schemas so LLMs understand required and optional parameters","Return tool results in formats compatible with LLM context windows and reasoning"],"best_for":["Teams building AI agents that manage Kubernetes clusters","LLM application developers integrating cluster operations into agent workflows","Organizations standardizing on MCP for tool integration across multiple systems"],"limitations":["Requires MCP-compatible LLM client (Claude, custom implementations) — not compatible with standard OpenAI API","Tool invocation latency includes MCP protocol overhead (~50-200ms per call)","Schema definitions must be manually maintained as Kubernetes API evolves","No built-in rate limiting or request queuing — relies on client-side throttling"],"requires":["Node.js 16+","MCP server SDK (@modelcontextprotocol/sdk)","MCP-compatible LLM client or application","Valid kubeconfig for Kubernetes authentication"],"input_types":["MCP tool invocation with parameters matching tool schema","JSON-formatted tool arguments"],"output_types":["MCP tool result with structured JSON response","error messages in MCP-compatible format","tool schemas in JSON Schema format for client discovery"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":38,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+","Valid kubeconfig file with cluster credentials","kubectl CLI installed (for authentication context)","RBAC permissions matching the authenticated user's role","Kubernetes cluster with namespace support","RBAC role allowing 'list' and 'get' verbs on target resources","kubeconfig with namespace context configured","OpenShift cluster (3.11+) or vanilla Kubernetes cluster","RBAC permission to access OpenShift resources (routes, projects, deploymentconfigs, imagestreams)","kubeconfig with OpenShift cluster context"],"failure_modes":["Requires valid kubeconfig with appropriate RBAC permissions — cannot escalate privileges beyond authenticated user","Returns metadata only; does not stream real-time events or watch resources for changes","No built-in caching — each query hits the Kubernetes API directly, adding latency for large clusters","Limited to single cluster per MCP server instance — multi-cluster requires multiple server instances","Respects RBAC — agent can only list namespaces and resources the authenticated user has permission to access","No namespace creation/deletion — read-only for namespace enumeration","Cross-namespace queries require explicit permission grants in RBAC policies","OpenShift-specific features only available on OpenShift clusters — gracefully degrades on vanilla Kubernetes","DeploymentConfig deprecation — newer OpenShift versions prefer Deployments","ImageStream integration requires OpenShift image registry access","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.4372556206890734,"quality":0.32,"ecosystem":0.5000000000000001,"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":"2026-05-03T14:23:33.437Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":7678,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=npm-kubernetes-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=npm-kubernetes-mcp-server"}},"signature":"PN3YxlUnQpsUJjP5x70E/rOrIPdrOh3w99v6QMqTGu1f33R9RJtawmpOXwSHMjqMIayzWU1EUmII0IOwNYlWAQ==","signedAt":"2026-06-20T14:08:24.179Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-kubernetes-mcp-server","artifact":"https://unfragile.ai/npm-kubernetes-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=npm-kubernetes-mcp-server","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"}}