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MCP unreviewed MIT Self-run

Kubectl Mcp Server

mcp-rohitg00-kubectl-mcp-server · by rohitg00

Published in CNCF Landscape: A MCP server for Kubernetes.

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Install

$ agentstack add mcp-rohitg00-kubectl-mcp-server

Open-source listing, not yet scanned by AgentStack. Follow the source repository for install instructions.

Security review

⚠ Flagged

1 finding(s); flagged for manual review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures
  • high Pipes remote content directly into a shell (remote code execution).

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Reliability & compatibility

Not yet reviewed
0 installs to date
no reviews yet
4mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

kubectl-mcp-server

Control your entire Kubernetes infrastructure through natural language conversations with AI. Talk to your clusters like you talk to a DevOps expert. Debug crashed pods, optimize costs, deploy applications, audit security, manage Helm charts, and visualize dashboards, all through natural language. Part of CNCF Landscape, Next to Terraform


Installation

Quick Start with npx (Recommended - Zero Install)

# Run directly without installation - works instantly!
npx -y kubectl-mcp-server

# Or install globally for faster startup
npm install -g kubectl-mcp-server

Or install with pip (Python)

# Standard installation
pip install kubectl-mcp-server

# With interactive UI dashboards (recommended)
pip install kubectl-mcp-server[ui]

📑 Table of Contents

  • [What Can You Do?](#what-can-you-do)
  • [Why kubectl-mcp-server?](#why-kubectl-mcp-server)
  • [Live Demos](#live-demos)
  • [Installation](#installation)
  • [Quick Start with npx](#quick-start-with-npx-recommended---zero-install)
  • [Install with pip](#or-install-with-pip-python)
  • [Docker](#docker)
  • [Getting Started](#getting-started)
  • [Quick Setup with Your AI Assistant](#quick-setup-with-your-ai-assistant)
  • [All Supported AI Assistants](#all-supported-ai-assistants)
  • [Complete Feature Set](#complete-feature-set)
  • [Using the CLI](#using-the-cli)
  • [Advanced Configuration](#advanced-configuration)
  • [Optional Features](#optional-interactive-dashboards-6-ui-tools)
  • [Interactive Dashboards](#optional-interactive-dashboards-6-ui-tools)
  • [Browser Automation](#optional-browser-automation-26-tools)
  • [Enterprise](#enterprise-oauth-21-authentication)
  • [Integrations & Ecosystem](#integrations--ecosystem)
  • [In-Cluster Deployment](#in-cluster-deployment)
  • [Multi-Cluster Support](#multi-cluster-support)
  • [Architecture](#architecture)
  • [Agent Skills](#agent-skills-24-skills-for-ai-coding-agents)
  • [Development & Testing](#development--testing)
  • [Contributing](#contributing)
  • [Support & Community](#support--community)

What Can You Do?

Simply ask your AI assistant in natural language:

💬 "Why is my pod crashing?"

  • Instant crash diagnosis with logs, events, and resource analysis
  • Root cause identification with actionable recommendations

💬 "Deploy a Redis cluster with 3 replicas"

  • Creates deployment with best practices
  • Configures services, persistent storage, and health checks

💬 "Show me which pods are wasting resources"

  • AI-powered cost optimization analysis
  • Resource recommendations with potential savings

💬 "Which services can't reach the database?"

  • Network connectivity diagnostics with DNS resolution
  • Service chain tracing from ingress to pods

💬 "Audit security across all namespaces"

  • RBAC permission analysis
  • Secret security scanning and pod security policies

💬 "Show me the cluster dashboard"

  • Interactive HTML dashboards with live metrics
  • Visual timeline of events and resource usage

253 powerful tools | 8 workflow prompts | 8 data resources | Works with all major AI assistants

Why kubectl-mcp-server?

  • 🚀 Stop context-switching - Manage Kubernetes directly from your AI assistant conversations
  • 🧠 AI-powered diagnostics - Get intelligent troubleshooting, not just raw data
  • 💰 Built-in cost optimization - Identify waste and get actionable savings recommendations
  • 🔒 Enterprise-ready - OAuth 2.1 auth, RBAC validation, non-destructive mode, secret masking
  • ⚡ Zero learning curve - Natural language instead of memorizing kubectl commands
  • 🌐 Universal compatibility - Works with Claude, Cursor, Windsurf, Copilot, and 15+ other AI tools
  • 📊 Visual insights - Interactive dashboards and browser automation for web-based tools
  • ☸️ Production-grade - Deploy in-cluster with kMCP, 216 passing tests, active maintenance

From debugging crashed pods to optimizing cluster costs, kubectl-mcp-server is your AI-powered DevOps companion.

Live Demos

Claude Desktop

Cursor AI

Windsurf

Installation

Quick Start with npx (Recommended - Zero Install)

# Run directly without installation - works instantly!
npx -y kubectl-mcp-server

# Or install globally for faster startup
npm install -g kubectl-mcp-server

Or install with pip (Python)

# Standard installation
pip install kubectl-mcp-server

# With interactive UI dashboards (recommended)
pip install kubectl-mcp-server[ui]

Install from GitHub Release

# Install specific version directly from GitHub release (replace {VERSION} with desired version)
pip install https://github.com/rohitg00/kubectl-mcp-server/releases/download/v{VERSION}/kubectl_mcp_server-{VERSION}-py3-none-any.whl

# Example: Install v1.19.0
pip install https://github.com/rohitg00/kubectl-mcp-server/releases/download/v1.19.0/kubectl_mcp_server-1.19.0-py3-none-any.whl

# Or install latest from git
pip install git+https://github.com/rohitg00/kubectl-mcp-server.git

Prerequisites

  • Python 3.9+ (for pip installation)
  • Node.js 14+ (for npx installation)
  • kubectl installed and configured
  • Access to a Kubernetes cluster

Docker

# Pull from Docker Hub
docker pull rohitghumare64/kubectl-mcp-server:latest

# Or pull from GitHub Container Registry
docker pull ghcr.io/rohitg00/kubectl-mcp-server:latest

# Run with stdio transport
docker run -i -v $HOME/.kube:/root/.kube:ro rohitghumare64/kubectl-mcp-server:latest

# Run with HTTP transport
docker run -p 8000:8000 -v $HOME/.kube:/root/.kube:ro rohitghumare64/kubectl-mcp-server:latest --transport sse

Getting Started

1. Test the Server (Optional)

Before integrating with your AI assistant, verify the installation:

# Check if kubectl is configured
kubectl cluster-info

# Test the MCP server directly
kubectl-mcp-server info

# List all available tools
kubectl-mcp-server tools

# Try calling a tool
kubectl-mcp-server call get_pods '{"namespace": "kube-system"}'

2. Connect to Your AI Assistant

Choose your favorite AI assistant and add the configuration:

Quick Setup with Your AI Assistant

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "kubernetes": {
      "command": "npx",
      "args": ["-y", "kubectl-mcp-server"]
    }
  }
}

Cursor AI

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "kubernetes": {
      "command": "npx",
      "args": ["-y", "kubectl-mcp-server"]
    }
  }
}

Windsurf

Add to ~/.config/windsurf/mcp.json:

{
  "mcpServers": {
    "kubernetes": {
      "command": "npx",
      "args": ["-y", "kubectl-mcp-server"]
    }
  }
}

Using Python Instead of npx

{
  "mcpServers": {
    "kubernetes": {
      "command": "python",
      "args": ["-m", "kubectl_mcp_tool.mcp_server"],
      "env": {
        "KUBECONFIG": "/path/to/.kube/config"
      }
    }
  }
}

More integrations: GitHub Copilot, Goose, Gemini CLI, Roo Code, and [15+ other clients](#mcp-client-compatibility) —> see [full configuration guide](#all-supported-ai-assistants) below.

3. Restart Your AI Assistant

After adding the configuration, restart your AI assistant (GitHub Copilot, Claude Code,Claude Desktop, Cursor, etc.) to load the MCP server.

4. Try These Commands

Start a conversation with your AI assistant and try these:

Troubleshooting:

"Show me all pods in the kube-system namespace"
"Why is the nginx-deployment pod crashing?"
"Diagnose network connectivity issues in the default namespace"

Deployments:

"Create a deployment for nginx with 3 replicas"
"Scale my frontend deployment to 5 replicas"
"Roll back the api-server deployment to the previous version"

Cost & Optimization:

"Which pods are using the most resources?"
"Show me idle resources that are wasting money"
"Analyze cost optimization opportunities in the production namespace"

Security:

"Audit RBAC permissions in all namespaces"
"Check for insecure secrets and configurations"
"Show me pods running with privileged access"

Helm:

"List all Helm releases in the cluster"
"Install Redis from the Bitnami chart repository"
"Show me the values for my nginx-ingress Helm release"

Multi-Cluster:

"List all available Kubernetes contexts"
"Switch to the production cluster context"
"Show me cluster information and version"

MCP Client Compatibility

Works seamlessly with all MCP-compatible AI assistants:

| Client | Status | Client | Status | |--------|--------|--------|--------| | Claude Desktop | ✅ Native | Claude Code | ✅ Native | | Cursor | ✅ Native | Windsurf | ✅ Native | | GitHub Copilot | ✅ Native | OpenAI Codex | ✅ Native | | Gemini CLI | ✅ Native | Goose | ✅ Native | | Roo Code | ✅ Native | Kilo Code | ✅ Native | | Amp | ✅ Native | Trae | ✅ Native | | OpenCode | ✅ Native | Kiro CLI | ✅ Native | | Antigravity | ✅ Native | Clawdbot | ✅ Native | | Droid (Factory) | ✅ Native | Any MCP Client | ✅ Compatible |

All Supported AI Assistants

Claude Code

Add to ~/.config/claude-code/mcp.json:

{
  "mcpServers": {
    "kubernetes": {
      "command": "npx",
      "args": ["-y", "kubectl-mcp-server"]
    }
  }
}

GitHub Copilot (VS Code)

Add to VS Code settings.json:

{
  "mcp": {
    "servers": {
      "kubernetes": {
        "command": "npx",
        "args": ["-y", "kubectl-mcp-server"]
      }
    }
  }
}

Goose

Add to ~/.config/goose/config.yaml:

extensions:
  kubernetes:
    command: npx
    args:
      - -y
      - kubectl-mcp-server

Gemini CLI

Add to ~/.gemini/settings.json:

{
  "mcpServers": {
    "kubernetes": {
      "command": "npx",
      "args": ["-y", "kubectl-mcp-server"]
    }
  }
}

Roo Code / Kilo Code

Add to ~/.config/roo-code/mcp.json or ~/.config/kilo-code/mcp.json:

{
  "mcpServers": {
    "kubernetes": {
      "command": "npx",
      "args": ["-y", "kubectl-mcp-server"]
    }
  }
}

Complete Feature Set

253 MCP Tools for Complete Kubernetes Management

| Category | Tools | |----------|-------| | Pods | get_pods, get_logs, get_pod_events, check_pod_health, exec_in_pod, cleanup_pods, get_pod_conditions, get_previous_logs | | Deployments | get_deployments, create_deployment, scale_deployment, kubectl_rollout, restart_deployment | | Workloads | get_statefulsets, get_daemonsets, get_jobs, get_replicasets | | Services & Networking | get_services, get_ingress, get_endpoints, diagnose_network_connectivity, check_dns_resolution, trace_service_chain | | Storage | get_persistent_volumes, get_pvcs, get_storage_classes | | Config | get_configmaps, get_secrets, get_resource_quotas, get_limit_ranges | | Cluster | get_nodes, get_namespaces, get_cluster_info, get_cluster_version, health_check, get_node_metrics, get_pod_metrics | | RBAC & Security | get_rbac_roles, get_cluster_roles, get_service_accounts, audit_rbac_permissions, check_secrets_security, get_pod_security_info, get_admission_webhooks | | CRDs | get_crds, get_priority_classes | | Helm Releases | helm_list, helm_status, helm_history, helm_get_values, helm_get_manifest, helm_get_notes, helm_get_hooks, helm_get_all | | Helm Charts | helm_show_chart, helm_show_values, helm_show_readme, helm_show_crds, helm_show_all, helm_search_repo, helm_search_hub | | Helm Repos | helm_repo_list, helm_repo_add, helm_repo_remove, helm_repo_update | | Helm Operations | install_helm_chart, upgrade_helm_chart, uninstall_helm_chart, helm_rollback, helm_test, helm_template, helm_template_apply | | Helm Development | helm_create, helm_lint, helm_package, helm_pull, helm_dependency_list, helm_dependency_update, helm_dependency_build, helm_version, helm_env | | Context | get_current_context, switch_context, list_contexts, list_kubeconfig_contexts | | Diagnostics | diagnose_pod_crash, detect_pending_pods, get_evicted_pods, compare_namespaces | | Operations | kubectl_apply, kubectl_create, kubectl_describe, kubectl_patch, delete_resource, kubectl_cp, backup_resource, label_resource, annotate_resource, taint_node, wait_for_condition | | Autoscaling | get_hpa, get_pdb | | Cost Optimization | get_resource_recommendations, get_idle_resources, get_resource_quotas_usage, get_cost_analysis, get_overprovisioned_resources, get_resource_trends, get_namespace_cost_allocation, optimize_resource_requests | | Advanced | kubectl_generic, kubectl_explain, get_api_resources, port_forward, get_resource_usage, node_management | | UI Dashboards | show_pod_logs_ui, show_pods_dashboard_ui, show_resource_yaml_ui, show_cluster_overview_ui, show_events_timeline_ui, render_k8s_dashboard_screenshot | | GitOps (Flux/Argo) | gitops_apps_list, gitops_app_get, gitops_app_sync, gitops_app_status, gitops_sources_list, gitops_source_get, gitops_detect_engine | | Cert-Manager | certs_list, certs_get, certs_issuers_list, certs_issuer_get, certs_renew, certs_status_explain, certs_challenges_list, certs_requests_list, certs_detect | | Policy (Kyverno/Gatekeeper) | policy_list, policy_get, policy_violations_list, policy_explain_denial, policy_audit, policy_detect | | Backup (Velero) | backup_list, backup_get, backup_create, backup_delete, restore_list, restore_create, restore_get, backup_locations_list, backup_schedules_list, backup_schedule_create, backup_detect | | KEDA Autoscaling | keda_scaledobjects_list, keda_scaledobject_get, keda_scaledjobs_list, keda_triggerauths_list, keda_triggerauth_get, keda_hpa_list, keda_detect | | Cilium/Hubble | cilium_policies_list, cilium_policy_get, cilium_endpoints_list, cilium_identities_list, cilium_nodes_list, cilium_status, hubble_flows_query, cilium_detect | | Argo Rollouts/Flagger | rollouts_list, rollout_get, rollout_status, rollout_promote, rollout_abort, rollout_retry, rollout_restart, analysis_runs_list, flagger_canaries_list, flagger_canary_get, rollouts_detect | | Cluster API | capi_clusters_list, capi_cluster_get, capi_machines_list, capi_machine_get, capi_machinedeployments_list, capi_machinedeployment_scale, capi_machinesets_list, capi_machinehealthchecks_list, capi_clusterclasses_list, capi_cluster_kubeconfig, capi_detect | | KubeVirt VMs | kubevirt_vms_list, kubevirt_vm_get, kubevirt_vmis_list, kubevirt_vm_start, kubevirt_vm_stop, kubevirt_vm_restart, kubevirt_vm_pause, kubevirt_vm_unpause, kubevirt_vm_migrate, kubevirt_datasources_list, kubevirt_instancetypes_list, kubevirt_datavolumes_list, kubevirt_detect | | Istio/Kiali | istio_virtualservices_list, istio_virtualservice_get, istio_destinationrules_list, istio_gateways_list, istio_peerauthentications_list, istio_authorizationpolicies_list, istio_proxy_status, istio_analyze, istio_sidecar_status, istio_detect | | vCluster (vind) | vind_detect_tool, vind_list_clusters_tool, vind_status_tool, vind_get_kubeconfig_tool, vind_logs_tool, vind_create_cluster_tool, vind_delete_cluster_tool, vind_pause_tool, vind_resume_tool, vind_connect_tool, vind_disconnect_tool, vind_upgrade_tool, vind_describe_tool, vind_platform_start_tool | | kind (K8s in Docker) | kind_detect_tool, kind_version_tool, kind_list_clusters_tool, kind_get_nodes_tool, kind_get_kubeconfig_tool, kind_export_logs_tool, kind_cluster_info_tool, `kind_node

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.