{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github_mcp-alexei-led-k8s-mcp-server","slug":"mcp-alexei-led-k8s-mcp-server","name":"k8s-mcp-server","type":"mcp","url":"https://github.com/alexei-led/k8s-mcp-server","page_url":"https://unfragile.ai/mcp-alexei-led-k8s-mcp-server","categories":["mcp-servers"],"tags":["ai-assistant","argocd","claude","devops","docker","helm","istioctl","k8s","kubectl","kubernetes","mcp","mcp-server","modelcontextprotocol"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github_mcp-alexei-led-k8s-mcp-server__cap_0","uri":"capability://tool.use.integration.mcp.protocol.bridging.for.kubernetes.cli.tools","name":"mcp protocol bridging for kubernetes cli tools","description":"Implements Anthropic's Model Context Protocol (MCP) as a server that translates Claude's natural language requests into structured tool calls for kubectl, helm, istioctl, and argocd. Uses a request-response pattern where Claude sends MCP messages that are parsed, validated against security policies, and dispatched to the appropriate CLI tool handler. The system maintains bidirectional communication with Claude Desktop via stdio, enabling real-time command execution and result streaming.","intents":["Enable Claude to execute Kubernetes commands without direct cluster access","Allow AI-assisted cluster troubleshooting through natural language queries","Integrate Kubernetes operations into Claude's multi-tool reasoning workflows"],"best_for":["DevOps teams using Claude Desktop for cluster management","Platform engineers building AI-assisted infrastructure automation","Organizations wanting to delegate Kubernetes operations to Claude with audit trails"],"limitations":["Requires Claude Desktop or compatible MCP client — cannot be used with web-based Claude","Communication latency depends on stdio buffering and command execution time","MCP protocol overhead adds ~50-100ms per request-response cycle"],"requires":["Python 3.9+","Claude Desktop 0.5.0+ or compatible MCP client","Docker runtime for containerized deployment","Valid kubeconfig or cloud provider credentials mounted to container"],"input_types":["natural language queries from Claude","MCP protocol messages (JSON-RPC 2.0 format)"],"output_types":["MCP tool definitions (JSON schema)","command execution results (JSON-formatted stdout/stderr)","structured error responses with validation details"],"categories":["tool-use-integration","mcp-server"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-alexei-led-k8s-mcp-server__cap_1","uri":"capability://tool.use.integration.multi.tool.kubernetes.command.execution.with.unified.interface","name":"multi-tool kubernetes command execution with unified interface","description":"Provides a single MCP tool registry that abstracts kubectl, helm, istioctl, and argocd CLI tools, allowing Claude to invoke any tool through a consistent schema-based interface. Each tool is registered with its own command templates, argument validators, and execution handlers. The system dynamically generates MCP tool definitions from tool configurations, enabling Claude to discover available operations without hardcoding tool knowledge.","intents":["Execute kubectl commands for pod inspection, deployment management, and resource queries","Run helm operations for chart installation, upgrades, and repository management","Invoke istioctl for service mesh traffic management and security policies","Trigger argocd commands for GitOps-based application deployments and syncs"],"best_for":["Teams managing multi-tool Kubernetes stacks (kubectl + helm + istio + argocd)","Platform engineers building unified cluster management interfaces","DevOps practitioners who need tool flexibility without context switching"],"limitations":["Tool availability depends on binaries installed in container image — missing tools silently fail","No built-in tool version management — uses whatever version is in the container","Command argument validation is regex/schema-based, not semantic — complex kubectl queries may be rejected","Tool output parsing is line-based text — binary outputs (e.g., protobuf) are not supported"],"requires":["Docker image with kubectl, helm, istioctl, argocd binaries installed","Tool-specific configuration files (kubeconfig, helm repos, argocd server config)","Appropriate RBAC permissions for each tool in the target cluster"],"input_types":["tool name (string)","command arguments (array of strings)","optional flags and options (key-value pairs)"],"output_types":["command stdout (text)","command stderr (text)","exit code (integer)","structured JSON output (if tool supports --output=json)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-alexei-led-k8s-mcp-server__cap_10","uri":"capability://planning.reasoning.prompt.template.system.for.claude.context.and.instructions","name":"prompt template system for claude context and instructions","description":"Provides prompt templates that are sent to Claude along with tool definitions, giving Claude context about how to use the Kubernetes tools effectively. Templates include instructions for common operations (deploying applications, troubleshooting pods, managing helm releases), best practices for Kubernetes operations, and warnings about dangerous commands. Templates are customizable and can be extended with organization-specific guidance.","intents":["Guide Claude on how to use Kubernetes tools effectively","Provide best practices and safety guidelines for cluster operations","Enable organization-specific instructions (e.g., 'always check namespace before deleting')","Improve Claude's reasoning about multi-step Kubernetes workflows"],"best_for":["Teams wanting to enforce organizational best practices through Claude","Scenarios where Claude needs guidance on complex Kubernetes operations","Organizations with compliance requirements (e.g., 'always audit deletions')"],"limitations":["Prompt templates are static — Claude may ignore or override instructions","No enforcement mechanism — templates are advisory only","Template effectiveness depends on Claude's instruction-following ability","No A/B testing or metrics on template effectiveness","Templates are not versioned — no audit trail of instruction changes"],"requires":["Prompt template files (text or markdown format)","Understanding of Claude's instruction-following behavior"],"input_types":["prompt template text (markdown or plain text)","context variables (e.g., cluster name, namespace)"],"output_types":["formatted prompt sent to Claude (as part of MCP tool definitions)"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-alexei-led-k8s-mcp-server__cap_2","uri":"capability://safety.moderation.security.validation.and.policy.enforcement.for.kubernetes.commands","name":"security validation and policy enforcement for kubernetes commands","description":"Implements a multi-layer security architecture that validates commands before execution using configurable security policies. The system checks command syntax against tool-specific schemas, enforces namespace restrictions, validates resource types, and applies custom policy rules defined in configuration files. Uses a defense-in-depth approach with container isolation, read-only credential mounts, and audit logging of all executed commands.","intents":["Prevent Claude from executing dangerous or unauthorized Kubernetes commands","Enforce organizational policies (e.g., only allow operations in specific namespaces)","Audit all AI-executed commands for compliance and troubleshooting","Restrict access to sensitive resources (secrets, RBAC rules, cluster-admin operations)"],"best_for":["Enterprise teams requiring audit trails and policy compliance for AI-assisted operations","Organizations with strict RBAC requirements and namespace isolation","Security-conscious teams deploying AI agents in production clusters"],"limitations":["Policy validation is declarative and static — cannot enforce dynamic policies based on cluster state","No real-time policy updates — policy changes require container restart","Audit logging is local to container — requires external log aggregation for persistence","Policy syntax is custom YAML — no standardized policy language (e.g., OPA/Rego) support"],"requires":["Security policy configuration file (YAML format)","Container runtime with network isolation","Read-only volume mounts for credentials (no write access to kubeconfig)","Optional: external logging system for audit trail persistence"],"input_types":["command string (to be validated)","security policy rules (YAML configuration)","user context (namespace, RBAC role)"],"output_types":["validation result (pass/fail with reason)","audit log entry (JSON with timestamp, command, user, result)","error message with policy violation details"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-alexei-led-k8s-mcp-server__cap_3","uri":"capability://tool.use.integration.cloud.provider.credential.management.with.secure.mounting","name":"cloud provider credential management with secure mounting","description":"Manages credentials for AWS EKS, Google GKE, and Azure AKS by mounting cloud provider configuration files as read-only volumes into the container. The system supports kubeconfig files, AWS credentials, GCP service accounts, and Azure credentials, enabling the container to authenticate to multiple cloud providers without embedding secrets in the image. Credentials are never logged or exposed in command output.","intents":["Authenticate to AWS EKS clusters using IAM credentials or OIDC","Connect to Google GKE clusters using service account keys","Access Azure AKS clusters using Azure credentials or managed identity","Support multi-cluster scenarios with different cloud providers"],"best_for":["Multi-cloud DevOps teams managing clusters across AWS, GCP, and Azure","Organizations requiring credential isolation and no-secret-in-image deployments","Teams using Claude Desktop with local Kubernetes cluster access"],"limitations":["Credentials must be pre-provisioned on the host system — no dynamic credential generation","Volume mounts are static at container startup — credential rotation requires container restart","No built-in credential refresh — long-lived credentials may expire during extended sessions","Credential validation is implicit (fails at first kubectl call) — no early validation","Only supports file-based credentials — no support for credential providers (e.g., AWS STS AssumeRole)"],"requires":["Cloud provider credentials provisioned on host system (kubeconfig, AWS credentials, GCP service account, Azure credentials)","Docker volume mount configuration to expose credentials as read-only","Appropriate IAM permissions in the cloud provider for the credentials","Valid kubeconfig file pointing to the target cluster"],"input_types":["credential file paths (mounted as volumes)","cloud provider configuration (environment variables or config files)"],"output_types":["authenticated kubectl/helm/argocd context","cluster connection status (implicit — success/failure of first command)"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-alexei-led-k8s-mcp-server__cap_4","uri":"capability://data.processing.analysis.command.execution.with.structured.output.parsing.and.formatting","name":"command execution with structured output parsing and formatting","description":"Executes validated Kubernetes CLI commands in a subprocess and captures stdout/stderr with structured parsing. The system detects JSON output (when tools are invoked with --output=json flags) and returns parsed JSON objects, or returns raw text output for human-readable formats. Includes timeout handling, exit code capture, and error message extraction to provide Claude with actionable feedback.","intents":["Execute kubectl commands and parse JSON output for programmatic analysis","Run helm list/status commands and extract structured deployment information","Invoke istioctl and parse service mesh configuration","Execute argocd commands and interpret application sync status"],"best_for":["Scenarios where Claude needs to parse and reason about command output","Multi-step workflows requiring output from one command as input to another","Troubleshooting workflows where structured data enables better diagnosis"],"limitations":["JSON parsing only works if tool is invoked with --output=json flag — text output is not parsed","Large output (>10MB) may cause memory issues or timeout — no streaming output support","Command timeout is fixed (default 30s) — long-running operations may be killed prematurely","Binary output (e.g., logs with special characters) may be corrupted or truncated","Error messages are tool-specific — no normalization across different tools"],"requires":["Subprocess execution capability (Python subprocess module)","Tool binaries installed in container with appropriate output format support","Valid kubeconfig and cloud credentials for authentication"],"input_types":["command string (validated by security layer)","command arguments (array of strings)","optional timeout value (seconds)"],"output_types":["JSON object (if --output=json was used)","plain text output (stdout)","error message (stderr)","exit code (integer)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-alexei-led-k8s-mcp-server__cap_5","uri":"capability://automation.workflow.docker.containerized.deployment.with.isolated.execution.environment","name":"docker containerized deployment with isolated execution environment","description":"Packages the MCP server as a Docker container (ghcr.io/alexei-led/k8s-mcp-server) with all Kubernetes CLI tools pre-installed and configured. The container runs as an isolated process with read-only root filesystem, no network access to the host, and credential files mounted as read-only volumes. Supports deployment via Claude Desktop, Docker Compose, or standalone container orchestration.","intents":["Deploy k8s-mcp-server without installing Python dependencies on the host","Isolate Kubernetes CLI tools and credentials from the host system","Run the server in CI/CD pipelines or container orchestration platforms","Enable easy updates by pulling new container images"],"best_for":["Teams using Claude Desktop with Docker installed","CI/CD pipelines requiring isolated Kubernetes command execution","Organizations with containerization-first infrastructure practices"],"limitations":["Requires Docker runtime — cannot run on systems without Docker support","Container image size is large (~500MB+) due to bundled CLI tools — slow pulls on limited bandwidth","No built-in container orchestration — requires manual Docker Compose or Kubernetes manifests","Volume mounts are host-specific — Docker Compose files must be customized per environment","Container logs are ephemeral — require external log aggregation for persistence"],"requires":["Docker runtime (Docker Desktop, Docker Engine, or compatible)","Docker image pull access to ghcr.io/alexei-led/k8s-mcp-server","Volume mount configuration for credentials and kubeconfig","Port exposure (if using TCP socket instead of stdio)"],"input_types":["Docker image reference (ghcr.io/alexei-led/k8s-mcp-server:latest)","volume mount configuration (host paths to credentials)","environment variables (optional configuration)"],"output_types":["running container with MCP server listening on stdio or TCP socket","container logs (stdout/stderr)","exit code on container termination"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-alexei-led-k8s-mcp-server__cap_6","uri":"capability://tool.use.integration.claude.desktop.integration.with.stdio.based.mcp.communication","name":"claude desktop integration with stdio-based mcp communication","description":"Integrates with Claude Desktop by configuring the MCP server to communicate via stdio (standard input/output) rather than TCP sockets. Claude Desktop launches the container as a subprocess and communicates with it using JSON-RPC 2.0 messages over stdin/stdout. The integration is configured via Claude Desktop's configuration file (claude_desktop_config.json), which specifies the Docker image, volume mounts, and environment variables.","intents":["Enable Claude Desktop users to execute Kubernetes commands directly from the chat interface","Provide seamless integration without requiring separate server setup or port management","Allow Claude to discover available Kubernetes tools and operations through MCP tool definitions"],"best_for":["Individual developers using Claude Desktop for local cluster management","Teams with Claude Desktop licenses wanting to extend Claude's capabilities","Users preferring chat-based interaction over CLI for Kubernetes operations"],"limitations":["Requires Claude Desktop 0.5.0+ — not compatible with web-based Claude","Stdio communication is synchronous — no concurrent command execution","Container must be running on the same machine as Claude Desktop — no remote execution","Configuration changes require restarting Claude Desktop","No built-in rate limiting — Claude can spam commands and overwhelm the container"],"requires":["Claude Desktop 0.5.0+ installed and running","Docker Desktop or Docker Engine running on the same machine","Valid claude_desktop_config.json configuration file","Appropriate file permissions for reading/writing config files"],"input_types":["Claude Desktop configuration (JSON format)","Docker image reference and volume mount paths","environment variables for container configuration"],"output_types":["MCP tool definitions (JSON schema) sent to Claude","command execution results returned to Claude chat interface"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-alexei-led-k8s-mcp-server__cap_7","uri":"capability://tool.use.integration.tool.definition.generation.and.mcp.schema.validation","name":"tool definition generation and mcp schema validation","description":"Dynamically generates MCP tool definitions (JSON schemas) from tool configurations, allowing Claude to discover available Kubernetes operations without hardcoding tool knowledge. Each tool (kubectl, helm, istioctl, argocd) has a configuration that defines its command templates, required arguments, optional flags, and output format. The system validates tool definitions against the MCP schema specification and exposes them to Claude via the MCP tools/list endpoint.","intents":["Enable Claude to discover what Kubernetes operations are available","Provide Claude with argument validation rules for each tool","Allow Claude to understand the expected output format of each tool","Support adding new tools or operations without code changes"],"best_for":["Teams wanting to customize available Kubernetes operations","Scenarios requiring dynamic tool discovery without hardcoding","Organizations adding new tools (e.g., custom kubectl plugins) to the server"],"limitations":["Tool definitions are static — generated once at server startup, not updated dynamically","Schema validation is basic — complex argument relationships are not captured","No support for conditional arguments (e.g., 'if flag X is set, then flag Y is required')","Tool descriptions are text-based — no structured documentation or examples","No versioning — tool definitions do not track which version of the tool they describe"],"requires":["Tool configuration files (YAML or JSON format)","MCP schema specification knowledge","Tool binaries installed in container"],"input_types":["tool configuration (YAML/JSON with command templates and argument definitions)","MCP schema specification"],"output_types":["MCP tool definitions (JSON schema format)","validation errors (if schema is invalid)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-alexei-led-k8s-mcp-server__cap_8","uri":"capability://automation.workflow.error.handling.and.diagnostic.feedback.for.command.failures","name":"error handling and diagnostic feedback for command failures","description":"Captures and formats error messages from failed Kubernetes commands, providing Claude with actionable diagnostic information. When a command fails, the system extracts the exit code, stderr output, and tool-specific error patterns to generate a structured error response. Includes timeout detection, permission errors, resource not found errors, and connection failures with appropriate error messages.","intents":["Help Claude understand why a Kubernetes command failed","Provide diagnostic information for troubleshooting cluster issues","Enable Claude to suggest corrective actions based on error type","Distinguish between user errors (bad arguments) and system errors (cluster issues)"],"best_for":["Troubleshooting workflows where Claude needs to diagnose cluster problems","Scenarios where Claude must retry commands with different arguments","Teams wanting detailed error information for audit and debugging"],"limitations":["Error messages are tool-specific — no normalization across different tools","Error parsing is regex-based — complex error patterns may not be detected","No error context beyond stderr — cannot access cluster logs or events","Timeout errors are generic — no distinction between network timeouts and slow commands","Permission errors are inferred from error text — no RBAC policy analysis"],"requires":["Command execution with stderr capture","Exit code detection","Optional: error pattern definitions for tool-specific errors"],"input_types":["command exit code (integer)","command stderr output (text)","command stdout output (text)"],"output_types":["structured error response (JSON with error type, message, and suggestions)","raw stderr output (for debugging)","exit code (integer)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-alexei-led-k8s-mcp-server__cap_9","uri":"capability://automation.workflow.configuration.management.for.tool.specific.settings.and.policies","name":"configuration management for tool-specific settings and policies","description":"Manages configuration for all tools and security policies through YAML configuration files that are loaded at server startup. Configuration includes tool command templates, argument validators, security policies (namespace restrictions, resource type filters), and execution settings (timeouts, retry logic). The system supports environment variable substitution in configuration files, enabling dynamic configuration based on deployment context.","intents":["Define which Kubernetes operations are allowed in the deployment","Restrict Claude to specific namespaces or resource types","Configure tool-specific settings (e.g., helm repository URLs, argocd server address)","Customize security policies per deployment environment"],"best_for":["Organizations with strict security policies requiring fine-grained access control","Multi-tenant deployments where different teams have different permissions","Teams wanting to customize the server without rebuilding the container"],"limitations":["Configuration is static — changes require container restart","No configuration validation at load time — invalid config may cause runtime errors","No configuration versioning — no audit trail of configuration changes","Environment variable substitution is simple string replacement — no complex templating","No configuration hot-reload — cannot update policies without downtime"],"requires":["YAML configuration files (tool configs, security policies)","Volume mounts to expose configuration files to the container","Understanding of YAML syntax and configuration schema"],"input_types":["YAML configuration files (tool definitions, security policies)","environment variables (for dynamic configuration)"],"output_types":["loaded configuration (in-memory)","validation errors (if configuration is invalid)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":43,"verified":false,"data_access_risk":"high","permissions":["Python 3.9+","Claude Desktop 0.5.0+ or compatible MCP client","Docker runtime for containerized deployment","Valid kubeconfig or cloud provider credentials mounted to container","Docker image with kubectl, helm, istioctl, argocd binaries installed","Tool-specific configuration files (kubeconfig, helm repos, argocd server config)","Appropriate RBAC permissions for each tool in the target cluster","Prompt template files (text or markdown format)","Understanding of Claude's instruction-following behavior","Security policy configuration file (YAML format)"],"failure_modes":["Requires Claude Desktop or compatible MCP client — cannot be used with web-based Claude","Communication latency depends on stdio buffering and command execution time","MCP protocol overhead adds ~50-100ms per request-response cycle","Tool availability depends on binaries installed in container image — missing tools silently fail","No built-in tool version management — uses whatever version is in the container","Command argument validation is regex/schema-based, not semantic — complex kubectl queries may be rejected","Tool output parsing is line-based text — binary outputs (e.g., protobuf) are not supported","Prompt templates are static — Claude may ignore or override instructions","No enforcement mechanism — templates are advisory only","Template effectiveness depends on Claude's instruction-following ability","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.2814241609753526,"quality":0.57,"ecosystem":0.6000000000000001,"match_graph":0.25,"freshness":0.6,"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":"2026-05-24T12:16:22.064Z","last_scraped_at":"2026-05-03T14:23:38.364Z","last_commit":"2026-02-27T15:41:55Z"},"community":{"stars":208,"forks":39,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=mcp-alexei-led-k8s-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=mcp-alexei-led-k8s-mcp-server"}},"signature":"3LsKyY4iEvpkcVKeewcSZYIFmITp+Bfgf2J2qZZBPp6iM3HAwJm70LRR6Q7pgXC/sQiYv7/GhV+VbMRyczW4Cw==","signedAt":"2026-06-21T08:53:13.186Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mcp-alexei-led-k8s-mcp-server","artifact":"https://unfragile.ai/mcp-alexei-led-k8s-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=mcp-alexei-led-k8s-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"}}