{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-mcp-k8s-go","slug":"mcp-k8s-go","name":"mcp-k8s-go","type":"mcp","url":"https://github.com/strowk/mcp-k8s-go","page_url":"https://unfragile.ai/mcp-k8s-go","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-mcp-k8s-go__cap_0","uri":"capability://tool.use.integration.json.rpc.mcp.protocol.handler.with.initialization.handshake","name":"json-rpc mcp protocol handler with initialization handshake","description":"Implements the Model Context Protocol specification using JSON-RPC 2.0 for bidirectional communication between MCP clients and the Kubernetes server. The handler manages request parsing, capability negotiation during initialization handshakes, and response formatting according to the MCP specification. It routes incoming JSON-RPC calls to appropriate tool, prompt, and resource handlers while maintaining protocol compliance and error handling.","intents":["Connect Claude Desktop or other MCP clients to a Kubernetes cluster via standardized protocol","Exchange capability information during client-server initialization","Route tool calls and resource requests through a standardized JSON-RPC interface","Ensure protocol compliance and proper error serialization for client consumption"],"best_for":["Teams integrating Kubernetes management into Claude Desktop or other MCP-compatible clients","Developers building custom MCP clients that need Kubernetes cluster access","Organizations standardizing on MCP for AI-assisted infrastructure management"],"limitations":["JSON-RPC overhead adds latency per request compared to direct Kubernetes API calls","Protocol compliance requires strict adherence to MCP specification, limiting custom extensions","No built-in request batching — each tool call requires separate JSON-RPC round-trip"],"requires":["MCP-compatible client application (Claude Desktop, custom client, etc.)","Go runtime for server execution","Valid kubeconfig file for Kubernetes cluster access"],"input_types":["JSON-RPC 2.0 request objects","Tool call parameters as JSON","Resource queries as structured JSON"],"output_types":["JSON-RPC 2.0 response objects","Tool execution results as JSON","Error responses with MCP-compliant error codes"],"categories":["tool-use-integration","mcp-protocol"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcp-k8s-go__cap_1","uri":"capability://tool.use.integration.multi.context.kubernetes.client.pool.management","name":"multi-context kubernetes client pool management","description":"Maintains a connection pool to multiple Kubernetes clusters by managing kubeconfig contexts, allowing clients to switch between clusters without reconnecting. The system dynamically loads and caches Kubernetes clients for each configured context, handling context switching through a client pool abstraction that maps context names to initialized Kubernetes clients. This enables seamless multi-cluster operations within a single MCP server instance.","intents":["List all available Kubernetes contexts from kubeconfig","Switch between different Kubernetes clusters within a single MCP session","Execute commands across multiple clusters without restarting the server","Manage credentials and authentication for multiple cluster contexts simultaneously"],"best_for":["Platform engineers managing multiple Kubernetes clusters (dev, staging, prod)","DevOps teams needing unified cluster access through a single MCP interface","Multi-tenant environments where different clients need isolated cluster access"],"limitations":["Client pool size is limited by available memory — large numbers of contexts may cause memory pressure","Context switching is synchronous — no concurrent operations across multiple contexts in a single tool call","Kubeconfig must be accessible and readable by the MCP server process"],"requires":["Valid kubeconfig file with multiple contexts configured","Kubernetes API server connectivity for each context","Appropriate RBAC permissions in each cluster"],"input_types":["Context name as string","Kubeconfig path as string"],"output_types":["List of context names","Current active context identifier","Kubernetes client connection status per context"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcp-k8s-go__cap_10","uri":"capability://tool.use.integration.interactive.prompt.for.namespace.discovery.and.selection","name":"interactive prompt for namespace discovery and selection","description":"Provides an interactive MCP prompt that guides users through discovering and selecting namespaces in the cluster. The prompt presents available namespaces with filtering options, enabling users to interactively choose a namespace for scoped operations. Implements the MCP prompts system to create a conversational interface for namespace selection, useful for multi-namespace environments.","intents":["Help users discover available namespaces in multi-namespace clusters","Guide users to select appropriate namespace for operations","Provide interactive filtering for namespace selection","Enable context-aware operations by establishing namespace scope"],"best_for":["Multi-tenant cluster operators managing namespace isolation","Teams with complex namespace organization","Users unfamiliar with cluster namespace structure"],"limitations":["Requires MCP client support for prompt rendering","No filtering by namespace characteristics (resource quota, labels)","Each prompt invocation is independent — no persistent namespace context"],"requires":["MCP client with prompt support","RBAC permissions: 'list' access for 'namespaces' resource"],"input_types":["Optional: namespace name pattern"],"output_types":["Selected namespace name","Namespace status","Namespace metadata"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcp-k8s-go__cap_11","uri":"capability://tool.use.integration.kubernetes.context.resource.exposure.for.client.awareness","name":"kubernetes context resource exposure for client awareness","description":"Exposes available Kubernetes contexts as MCP resources, allowing clients to discover and understand which clusters are accessible through the MCP server. The implementation registers contexts as resources in the MCP resource system, enabling clients to query available contexts and understand cluster connectivity. This provides metadata about configured contexts without requiring separate API calls.","intents":["Discover which Kubernetes clusters are accessible through the MCP server","Understand cluster configuration and connectivity status","Enable clients to make informed decisions about which context to use","Provide visibility into available cluster options"],"best_for":["Multi-cluster environments where clients need to understand available options","MCP clients that need to enumerate accessible clusters","Teams managing multiple Kubernetes deployments"],"limitations":["Resources are static — does not reflect real-time context availability","No context connectivity testing — only exposes configured contexts","Limited to contexts in kubeconfig — cannot discover external clusters"],"requires":["Valid kubeconfig with multiple contexts","MCP client support for resource queries"],"input_types":["Resource type query for 'kubernetes-contexts'"],"output_types":["List of context names","Context metadata (cluster name, user, namespace)","Context availability status"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcp-k8s-go__cap_2","uri":"capability://tool.use.integration.pod.log.retrieval.with.streaming.and.filtering","name":"pod log retrieval with streaming and filtering","description":"Retrieves logs from Kubernetes pods through the Kubernetes API client, supporting both historical log retrieval and real-time streaming. The implementation queries the pod's container logs with optional filtering by timestamp, line count, and container selection. Logs are returned as structured text that can be parsed by MCP clients for analysis, debugging, or integration with AI models.","intents":["Retrieve recent logs from a specific pod for debugging application issues","Stream live logs from a running pod to monitor real-time behavior","Get logs from specific containers within multi-container pods","Filter logs by timestamp range or line count for targeted analysis"],"best_for":["DevOps engineers debugging pod failures through Claude Desktop","Developers investigating application logs in Kubernetes clusters","SREs analyzing pod behavior for incident response"],"limitations":["Log retrieval is limited by Kubernetes API rate limits and kubelet log retention policies","Large log outputs (>10MB) may cause performance issues in MCP protocol transmission","Streaming logs require persistent connection — not suitable for one-shot tool calls","No built-in log parsing or structured log extraction — returns raw text only"],"requires":["Pod must exist in the Kubernetes cluster","Kubernetes API server must be accessible","RBAC permissions: 'pods/log' read access in the target namespace"],"input_types":["Pod name (string)","Namespace (string)","Container name (string, optional)","Tail lines (integer, optional)","Since timestamp (RFC3339, optional)"],"output_types":["Log text (string)","Structured log lines (array of strings)","Error messages if pod/container not found"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcp-k8s-go__cap_3","uri":"capability://tool.use.integration.in.pod.command.execution.with.container.shell.access","name":"in-pod command execution with container shell access","description":"Executes arbitrary commands inside running Kubernetes pods by establishing a remote execution session through the Kubernetes API's exec endpoint. The implementation handles container selection, stdin/stdout/stderr stream management, and exit code capture. Commands are executed with the pod's service account permissions and container runtime environment, enabling interactive debugging and operational tasks directly from MCP clients.","intents":["Run diagnostic commands inside a pod (ps, netstat, curl, etc.)","Execute application-specific scripts or maintenance tasks within containers","Debug networking or filesystem issues by running commands in the pod's context","Collect runtime information from running containers for analysis"],"best_for":["DevOps engineers performing pod-level troubleshooting through Claude","SREs executing emergency fixes or diagnostics in production pods","Developers debugging containerized applications without SSH access"],"limitations":["Commands execute with pod's service account permissions — no privilege escalation possible","Requires pod to be in Running state — cannot execute in Pending, Failed, or Succeeded pods","No interactive shell session support — each command is a separate execution","Command output is limited by MCP message size constraints (typically <1MB per response)","Timeout handling depends on client implementation — long-running commands may timeout"],"requires":["Pod must be in Running state","Container runtime must support exec (Docker, containerd, CRI-O)","RBAC permissions: 'pods/exec' create access in the target namespace","Network connectivity to Kubernetes API server"],"input_types":["Pod name (string)","Namespace (string)","Container name (string, optional — defaults to first container)","Command (string or array of strings)","Stdin data (string, optional)"],"output_types":["Command stdout (string)","Command stderr (string)","Exit code (integer)","Execution error messages"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcp-k8s-go__cap_4","uri":"capability://tool.use.integration.kubernetes.resource.listing.with.namespace.and.type.filtering","name":"kubernetes resource listing with namespace and type filtering","description":"Lists Kubernetes resources (pods, deployments, services, nodes, events, etc.) across namespaces with optional filtering by resource type, label selectors, and field selectors. The implementation queries the Kubernetes API for each resource type, aggregates results, and returns structured resource metadata. Supports both cluster-wide and namespace-scoped queries, enabling comprehensive resource discovery and inventory operations.","intents":["List all pods in a specific namespace to understand current workload state","Find resources matching specific labels or field criteria","Discover all Kubernetes resources of a particular type across the cluster","Get a complete inventory of cluster resources for capacity planning or auditing"],"best_for":["Platform engineers auditing cluster resource usage and configuration","DevOps teams discovering resources for troubleshooting or migration","Developers understanding cluster topology and resource relationships"],"limitations":["Large clusters (>10k resources) may timeout or return incomplete results due to API pagination limits","No real-time watch capability — returns point-in-time snapshot only","Label selector syntax requires Kubernetes knowledge — complex queries may fail silently","Resource metadata is limited to what Kubernetes API returns — no custom enrichment"],"requires":["RBAC permissions: 'list' and 'get' access for target resource types","Kubernetes API server must be accessible","Valid kubeconfig context"],"input_types":["Resource type (string: 'pods', 'deployments', 'services', 'nodes', 'events', etc.)","Namespace (string, optional — defaults to all namespaces)","Label selector (string, optional — Kubernetes label query syntax)","Field selector (string, optional — Kubernetes field query syntax)"],"output_types":["List of resource objects with metadata (name, namespace, status, labels, annotations)","Resource count summary","Error messages for inaccessible resources"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcp-k8s-go__cap_5","uri":"capability://tool.use.integration.detailed.kubernetes.resource.inspection.with.full.specification.retrieval","name":"detailed kubernetes resource inspection with full specification retrieval","description":"Retrieves complete specifications and status information for individual Kubernetes resources by querying the Kubernetes API for a specific resource by name and namespace. Returns the full resource definition including spec, status, metadata, and annotations, enabling detailed analysis of resource configuration and current state. Supports all Kubernetes resource types and provides structured YAML/JSON output suitable for configuration analysis and comparison.","intents":["Inspect a specific pod's full configuration and current status","Retrieve deployment specifications to understand scaling and update policies","Get service endpoint and selector configuration for networking troubleshooting","Analyze resource annotations and labels for compliance or tagging verification"],"best_for":["DevOps engineers analyzing resource configurations for troubleshooting","Compliance teams auditing resource specifications against policies","Developers understanding how their deployments are configured in the cluster"],"limitations":["Returns entire resource definition — large resources (>1MB) may exceed MCP message limits","No filtering of sensitive data — credentials in environment variables or secrets are visible","Requires exact resource name — no fuzzy matching or partial name search","Status information is point-in-time — does not reflect real-time changes"],"requires":["RBAC permissions: 'get' access for the target resource type in the target namespace","Kubernetes API server must be accessible","Resource must exist in the cluster"],"input_types":["Resource type (string: 'pod', 'deployment', 'service', etc.)","Resource name (string)","Namespace (string)"],"output_types":["Full resource definition (JSON/YAML)","Resource metadata (creation time, owner references, finalizers)","Current status (phase, conditions, ready replicas, etc.)","Error messages if resource not found"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcp-k8s-go__cap_6","uri":"capability://tool.use.integration.namespace.enumeration.and.context.aware.namespace.selection","name":"namespace enumeration and context-aware namespace selection","description":"Lists all namespaces in the current Kubernetes context and provides namespace information including status and resource quotas. The implementation queries the Kubernetes API for namespace objects and returns metadata that enables context-aware operations. Supports filtering and selection of namespaces for scoped resource operations, allowing tools to operate within specific namespace boundaries.","intents":["Discover all namespaces in the cluster to understand organizational structure","Identify namespace resource quotas and usage for capacity planning","Select appropriate namespace for resource operations","Verify namespace isolation and RBAC boundaries"],"best_for":["Multi-tenant cluster operators managing namespace isolation","Platform teams understanding cluster namespace organization","Developers deploying applications to specific namespaces"],"limitations":["Requires cluster-level RBAC permissions — cannot be restricted per-namespace","No real-time namespace creation/deletion watch — returns static snapshot","Resource quota information requires separate API calls to ResourceQuota objects"],"requires":["RBAC permissions: 'list' and 'get' access for 'namespaces' resource","Kubernetes API server must be accessible"],"input_types":["Optional: label selector for filtering namespaces"],"output_types":["List of namespace names","Namespace status (Active, Terminating)","Namespace metadata (labels, annotations, creation time)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcp-k8s-go__cap_7","uri":"capability://tool.use.integration.cluster.node.inventory.and.node.status.monitoring","name":"cluster node inventory and node status monitoring","description":"Lists all nodes in the Kubernetes cluster and retrieves detailed node information including capacity, allocatable resources, and current conditions. The implementation queries the Kubernetes API for node objects and returns metadata about CPU, memory, disk availability, and node readiness status. Enables capacity planning and node health monitoring through structured node data.","intents":["Understand cluster node capacity and resource availability","Identify nodes with resource constraints or unhealthy conditions","Plan workload placement based on node capacity","Monitor node health and identify nodes requiring maintenance"],"best_for":["Cluster operators monitoring node health and capacity","Platform teams planning workload distribution","SREs investigating node-level issues affecting pod scheduling"],"limitations":["Node capacity is static — does not reflect real-time pod resource usage","Requires cluster-level RBAC permissions","No node performance metrics — only capacity and conditions"],"requires":["RBAC permissions: 'list' and 'get' access for 'nodes' resource","Kubernetes API server must be accessible"],"input_types":["Optional: label selector for filtering nodes"],"output_types":["List of node names","Node capacity (CPU, memory, disk)","Node allocatable resources","Node conditions (Ready, MemoryPressure, DiskPressure, etc.)","Node metadata (labels, annotations, kubelet version)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcp-k8s-go__cap_8","uri":"capability://tool.use.integration.kubernetes.event.retrieval.and.cluster.event.monitoring","name":"kubernetes event retrieval and cluster event monitoring","description":"Retrieves Kubernetes events from the cluster, which record important state changes and warnings for resources. The implementation queries the Kubernetes API for event objects, optionally filtered by namespace, resource type, or time range. Events provide visibility into cluster activity, warnings, and errors that occurred during resource lifecycle, enabling troubleshooting and audit trail analysis.","intents":["Investigate why a pod failed to start by reviewing recent events","Understand cluster-wide activity and state changes","Identify warnings or errors affecting resource operations","Build audit trail of cluster events for compliance or debugging"],"best_for":["SREs investigating pod failures and cluster issues","DevOps teams auditing cluster activity and changes","Developers understanding why deployments failed to roll out"],"limitations":["Events are ephemeral — Kubernetes only retains events for ~1 hour by default","No structured event parsing — requires client-side interpretation of event messages","Event volume can be high in active clusters — filtering is essential","No real-time event streaming — returns historical snapshot only"],"requires":["RBAC permissions: 'list' and 'get' access for 'events' resource","Kubernetes API server must be accessible"],"input_types":["Namespace (string, optional — defaults to all namespaces)","Resource name (string, optional)","Resource type (string, optional)","Time range (optional)"],"output_types":["List of event objects with message, reason, and timestamp","Event source (component that generated the event)","Involved object reference (which resource the event concerns)","Event count (for repeated events)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcp-k8s-go__cap_9","uri":"capability://tool.use.integration.interactive.prompt.for.pod.discovery.and.selection","name":"interactive prompt for pod discovery and selection","description":"Provides an interactive MCP prompt that guides users through discovering and selecting pods in the cluster. The prompt presents available pods with filtering options, enabling users to interactively choose a pod for further operations like log retrieval or command execution. Implements the MCP prompts system to create a conversational interface for pod selection without requiring users to know exact pod names.","intents":["Help users discover pods without knowing exact names or namespaces","Provide interactive filtering to narrow down pod selection","Guide users through pod selection workflow for subsequent operations","Enable non-expert users to interact with Kubernetes through Claude"],"best_for":["Non-expert users exploring Kubernetes clusters through Claude","Teams standardizing on Claude for Kubernetes operations","Interactive debugging workflows where pod selection is the first step"],"limitations":["Interactive prompts require MCP client support for prompt rendering","Large clusters with many pods may overwhelm interactive selection","No persistent state — each prompt invocation is independent","Filtering is limited to pod name and namespace — no label-based filtering in prompt"],"requires":["MCP client with prompt support (Claude Desktop, compatible clients)","RBAC permissions: 'list' access for 'pods' resource"],"input_types":["Optional: namespace filter","Optional: pod name pattern"],"output_types":["Selected pod name","Selected pod namespace","Pod metadata (status, image, restart count)"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":28,"verified":false,"data_access_risk":"moderate","permissions":["MCP-compatible client application (Claude Desktop, custom client, etc.)","Go runtime for server execution","Valid kubeconfig file for Kubernetes cluster access","Valid kubeconfig file with multiple contexts configured","Kubernetes API server connectivity for each context","Appropriate RBAC permissions in each cluster","MCP client with prompt support","RBAC permissions: 'list' access for 'namespaces' resource","Valid kubeconfig with multiple contexts","MCP client support for resource queries"],"failure_modes":["JSON-RPC overhead adds latency per request compared to direct Kubernetes API calls","Protocol compliance requires strict adherence to MCP specification, limiting custom extensions","No built-in request batching — each tool call requires separate JSON-RPC round-trip","Client pool size is limited by available memory — large numbers of contexts may cause memory pressure","Context switching is synchronous — no concurrent operations across multiple contexts in a single tool call","Kubeconfig must be accessible and readable by the MCP server process","Requires MCP client support for prompt rendering","No filtering by namespace characteristics (resource quota, labels)","Each prompt invocation is independent — no persistent namespace context","Resources are static — does not reflect real-time context availability","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.34,"ecosystem":0.39999999999999997,"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":"2026-06-17T09:51:03.578Z","last_scraped_at":"2026-05-03T14:00:15.503Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=mcp-k8s-go","compare_url":"https://unfragile.ai/compare?artifact=mcp-k8s-go"}},"signature":"0MUTiJyc/ER32xSzIz89WPPgQMvKJ4QnX7S10I6iYovqDYm+Yp9/hJQeKq2e/GHijtbwy+4Q7DcjZojuofWrBQ==","signedAt":"2026-06-21T03:11:38.103Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mcp-k8s-go","artifact":"https://unfragile.ai/mcp-k8s-go","verify":"https://unfragile.ai/api/v1/verify?slug=mcp-k8s-go","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"}}