Power your agent
Lệnh của chính nhà phát hành. Không phải endpoint của PlugMCP.
Host a copy with our keys and logs.
npx -y [email protected]Claude Code không có liên kết cài đặt cho lệnh cục bộ. Sao chép lệnh bên dưới và chạy trong terminal.
claude mcp add mcp-server-kubernetes -- npx -y mcp-server-kubernetes@4.2.3Chạy trong terminal.
{ "mcpServers": { "mcp-server-kubernetes": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}claude_desktop_config.json
URL từ xa hay một lệnh trên máy của bạn? Hai cách cài đặt khác nhau thế nào
Chạy trên PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
MởBefore using this MCP server with any tool, make sure you have:
You can verify your connection by running kubectl get pods in a terminal to ensure you can connect to your cluster without credential issues.
By default, the server loads kubeconfig from ~/.kube/config. For additional authentication options (environment variables, custom paths, etc.), see ADVANCED_README.md.
Add the MCP server to Claude Code using the built-in command:
claude mcp add kubernetes -- npx mcp-server-kubernetes
This will automatically configure the server in your Claude Code MCP settings.
Add the MCP server to Codex CLI using the built-in command:
codex mcp add kubernetes -- npx mcp-server-kubernetes
This registers the server globally in ~/.codex/config.toml and makes its tools available in all Codex sessions.
Add the following configuration to your Claude Desktop config file:
{
"mcpServers": {
"kubernetes": {
"command": "npx",
"args": ["mcp-server-kubernetes"]
}
}
}
MCP Server Kubernetes is also available as a mcpb (formerly dxt) extension. In Claude Desktop, go to Settings (Cmd+, on Mac) -> Extensions -> Browse Extensions and scroll to find mcp-server-kubernetes in the modal. Install it & it will install & utilize kubectl via command line & your kubeconfig.
To manually install, you can also get the .mcpb by going to the latest Release and downloading it.
VS Code has built-in MCP support. Use the one-click install button above, or add the server to .vscode/mcp.json in your workspace (or to your user mcp.json via MCP: Open User Configuration):
{
"servers": {
"kubernetes": {
"type": "stdio",
"command": "npx",
"args": ["mcp-server-kubernetes"]
}
}
}
Cursor supports MCP servers through its AI integration. Add the server to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project):
{
"mcpServers": {
"kubernetes": {
"command": "npx",
"args": ["mcp-server-kubernetes"]
}
}
}
The server will automatically connect to your current kubectl context. You can verify the connection by asking the AI assistant to list your pods or create a test deployment.
Muse Code reads MCP servers from the mcp_servers block of ~/.config/muse/settings.json. The file must include "schema_version": 1:
{
"schema_version": 1,
"mcp_servers": {
"kubernetes": {
"transport": "stdio",
"command": "npx",
"args": ["mcp-server-kubernetes"]
}
}
}
To connect over Streamable HTTP instead, first start the server in HTTP mode (it serves /mcp on port 3000 by default; see Streamable HTTP Transport):
ENABLE_UNSAFE_STREAMABLE_HTTP_TRANSPORT=1 npx mcp-server-kubernetes
Then point Muse Code at that endpoint with the streamable_http transport (headers is optional):
{
"schema_version": 1,
"mcp_servers": {
"kubernetes": {
"transport": "streamable_http",
"url": "http://localhost:3000/mcp",
"mode": "optional"
}
}
}
"mode": "optional" lets Muse Code start with a warning if the HTTP server isn't running, instead of aborting.
Start a new Muse Code session after editing the file, then run /mcp to confirm the kubernetes server and its tools are connected.
mcp-chat is a CLI chat client for MCP servers. You can use it to interact with the Kubernetes server.
npx mcp-chat --server "npx mcp-server-kubernetes"
Alternatively, pass it your existing Claude Desktop configuration file from above (Linux should pass the correct path to config):
Mac:
npx mcp-chat --config "~/Library/Application Support/Claude/claude_desktop_config.json"
Windows:
npx mcp-chat --config "%APPDATA%\Claude\claude_desktop_config.json"
kubectl_getkubectl_describekubectl_getkubectl_createkubectl_applykubectl_deletekubectl_logskubectl_contextexplain_resourcelist_api_resourceskubectl_scalekubectl_patchkubectl_rolloutkubectl_genericpingkubectl_scale (replaces legacy scale_deployment)port_forwardhelm_template_apply) to bypass authentication issueshelm_template_uninstall) to bypass authentication issuescleanup_pods) in states: Evicted, ContainerStatusUnknown, Completed, Error, ImagePullBackOff, CrashLoopBackOffnode_management) for maintenance and scaling operationsk8s-diagnose)
kubectl get secrets commands, does not affect logs)The MCP Kubernetes server includes optional OpenTelemetry integration for comprehensive observability. This feature is disabled by default and can be enabled via environment variables or Helm configuration.
Enable observability with environment variables:
export ENABLE_TELEMETRY=true
export OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317
npx mcp-server-kubernetes
Works with any OTLP-compatible backend:
See docs/OBSERVABILITY.md for comprehensive documentation including:
# Start Jaeger
docker run -d --name jaeger \
-e COLLECTOR_OTLP_ENABLED=true \
-p 16686:16686 \
-p 4317:4317 \
jaegertracing/all-in-one:latest
# Enable telemetry
export ENABLE_TELEMETRY=true
export OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317
export OTEL_TRACES_SAMPLER=always_on
# Run server
npx mcp-server-kubernetes
# View traces: http://localhost:16686
The MCP Kubernetes server includes specialized prompts to assist with common diagnostic operations.
This prompt provides a systematic troubleshooting flow for Kubernetes pods. It accepts a keyword to identify relevant pods and an optional namespace to narrow the search.
The prompt's output will guide you through an autonomous troubleshooting flow, providing instructions for identifying issues, collecting evidence, and suggesting remediation steps.
Make sure that you have bun installed. Clone the repo & install dependencies:
git clone https://github.com/Flux159/mcp-server-kubernetes.git
cd mcp-server-kubernetes
bun install
bun run dev
bun run test
bun run build
npx @modelcontextprotocol/inspector node dist/index.js
# Follow further instructions on terminal for Inspector link
{
"mcpServers": {
"mcp-server-kubernetes": {
"command": "node",
"args": ["/path/to/your/mcp-server-kubernetes/dist/index.js"]
}
}
}
bun run chat
See the CONTRIBUTING.md file for details.
You can run the server in a non-destructive mode that disables all destructive operations (delete pods, delete deployments, delete namespaces, etc.):
ALLOW_ONLY_NON_DESTRUCTIVE_TOOLS=true npx mcp-server-kubernetes
For Claude Desktop configuration with non-destructive mode:
{
"mcpServers": {
"kubernetes-readonly": {
"command": "npx",
"args": ["mcp-server-kubernetes"],
"env": {
"ALLOW_ONLY_NON_DESTRUCTIVE_TOOLS": "true"
}
}
}
}
All read-only and resource creation/update operations remain available:
kubectl_get, kubectl_describe, kubectl_logs, explain_resource, list_api_resourceskubectl_apply, kubectl_create, kubectl_scale, kubectl_patch, kubectl_rolloutinstall_helm_chart, upgrade_helm_chart, helm_template_apply, helm_template_uninstallport_forward, stop_port_forwardkubectl_contextThe following destructive operations are disabled:
kubectl_delete: Deleting any Kubernetes resourcesuninstall_helm_chart: Uninstalling Helm chartscleanup: Cleanup of managed resourcescleanup_pods: Cleaning up problematic podsnode_management: Node management operations (can drain nodes)kubectl_generic: General kubectl command access (may include destructive operations)exec_in_pod: Arbitrary command execution inside a pod (can read service-account tokens and change state)For additional advanced features, see the ADVANCED_README.md and also the docs folder for specific information on helm_install, helm_template_apply, node management & pod cleanup.
See this DeepWiki link for a more indepth architecture overview created by Devin.
This section describes the high-level architecture of the MCP Kubernetes server.
The sequence diagram below illustrates how requests flow through the system:
sequenceDiagram
participant Client
participant Transport as Transport Layer
participant Server as MCP Server
participant Filter as Tool Filter
participant Handler as Request Handler
participant K8sManager as KubernetesManager
participant K8s as Kubernetes API
Note over Transport: StdioTransport or<br>SSE Transport
Client->>Transport: Send Request
Transport->>Server: Forward Request
alt Tools Request
Server->>Filter: Filter available tools
Note over Filter: Remove destructive tools<br>if in non-destructive mode
Filter->>Handler: Route to tools handler
alt kubectl operations
Handler->>K8sManager: Execute kubectl operation
K8sManager->>K8s: Make API call
else Helm operations
Handler->>K8sManager: Execute Helm operation
K8sManager->>K8s: Make API call
else Port Forward operations
Handler->>K8sManager: Set up port forwarding
K8sManager->>K8s: Make API call
end
K8s-->>K8sManager: Return result
K8sManager-->>Handler: Process response
Handler-->>Server: Return tool result
else Resource Request
Server->>Handler: Route to resource handler
Handler->>K8sManager: Get resource data
K8sManager->>K8s: Query API
K8s-->>K8sManager: Return data
K8sManager-->>Handler: Format response
Handler-->>Server: Return resource data
end
Server-->>Transport: Send Response
Transport-->>Client: Return Final Response
See this DeepWiki link for a more indepth architecture overview created by Devin.
Go to the releases page, click on "Draft New Release", click "Choose a tag" and create a new tag by typing out a new version number using "v{major}.{minor}.{patch}" semver format. Then, write a release title "Release v{major}.{minor}.{patch}" and description / changelog if necessary and click "Publish Release".
This will create a new tag which will trigger a new release build via the cd.yml workflow. Once successful, the new release will be published to npm. Note that there is no need to update the package.json version manually, as the workflow will automatically update the version number in the package.json file & push a commit to main.
Adding clusters to kubectx.
If you find this repo useful, please cite:
@software{Patel_MCP_Server_Kubernetes_2024,
author = {Patel, Paras and Sonwalkar, Suyog},
month = jul,
title = {{MCP Server Kubernetes}},
url = {https://github.com/Flux159/mcp-server-kubernetes},
version = {2.5.0},
year = {2024}
}
MCP server for interacting with Kubernetes clusters via kubectl
{ "mcpServers": { "mcp-server-kubernetes": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}Công cụ
Chưa có danh sách công cụ. Máy chủ từ xa sẽ có danh sách sau lần kiểm tra tình trạng đầu tiên.
Câu hỏi thường gặp
Sao chép cấu hình stdio cho Cursor, Claude Desktop, Claude Code hoặc VS Code trên trang này. Cấu hình dùng bản cài đặt của nhà phát hành, không phải proxy của PlugMCP.
Bản ghi này không liệt kê biến môi trường bắt buộc nào.
MCP Server Kubernetes chạy cục bộ qua stdio.
Kiểm tra lần cuối: 2026-11-14. MCP server for interacting with Kubernetes clusters via kubectl