io.github.containers/kubernetes-mcp-server

A Model Context Protocol (MCP) server for Kubernetes and OpenShift

0 tools GitHub

No known CVEs

No license

Maintenance unknown

No commit data

Untested

Transport: stdio

0 tools

Grade F

Cloud Developer Tools AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Untested on Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-containers-kubernetes-mcp-server": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

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Read me

What io.github.containers/kubernetes-mcp-server does

A Model Context Protocol (MCP) server for Kubernetes and OpenShift

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

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Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

15/100across 5 weighted dimensions

How we score →

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−85

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Security

OSV.dev

No known CVEs.

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Frequently Asked Questions

Is io.github.containers/kubernetes-mcp-server safe to use?: io.github.containers/kubernetes-mcp-server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.containers/kubernetes-mcp-server?: io.github.containers/kubernetes-mcp-server can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.containers/kubernetes-mcp-server?: io.github.containers/kubernetes-mcp-server is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

✨ Features

A powerful and flexible Kubernetes Model Context Protocol (MCP) server implementation with support for Kubernetes and OpenShift.

✅ Configuration:

Automatically detect changes in the Kubernetes configuration and update the MCP server.
View and manage the current Kubernetes .kube/config or in-cluster configuration.

✅ Generic Kubernetes Resources: Perform operations on any Kubernetes or OpenShift resource.

Any CRUD operation (Create or Update, Get, List, Delete).

✅ Pods: Perform Pod-specific operations.

List pods in all namespaces or in a specific namespace.
Get a pod by name from the specified namespace.
Delete a pod by name from the specified namespace.
Show logs for a pod by name from the specified namespace.
Top gets resource usage metrics for all pods or a specific pod in the specified namespace.
Exec into a pod and run a command.
Run a container image in a pod and optionally expose it.

✅ Namespaces: List Kubernetes Namespaces.

✅ Events: View Kubernetes events in all namespaces or in a specific namespace.

✅ Projects: List OpenShift Projects.

☸️ Helm:

Install a Helm chart in the current or provided namespace.
List Helm releases in all namespaces or in a specific namespace.
Uninstall a Helm release in the current or provided namespace.

🔧 Tekton: Tekton-specific operations that complement generic Kubernetes resource management.

Pipeline: Start a Tekton Pipeline by creating a PipelineRun.
PipelineRun: Restart a PipelineRun with the same spec.
Task: Start a Tekton Task by creating a TaskRun.
TaskRun: Restart a TaskRun with the same spec, and retrieve TaskRun logs via pod resolution.

🔭 Observability: Optional OpenTelemetry distributed tracing and metrics with custom sampling rates. Includes /stats endpoint for real-time statistics. See OTEL.md.

Unlike other Kubernetes MCP server implementations, this IS NOT just a wrapper around kubectl or helm command-line tools. It is a Go-based native implementation that interacts directly with the Kubernetes API server.

There is NO NEED for external dependencies or tools to be installed on the system. If you're using the native binaries you don't need to have Node or Python installed on your system.

✅ Lightweight: The server is distributed as a single native binary for Linux, macOS, and Windows.

✅ High-Performance / Low-Latency: Directly interacts with the Kubernetes API server without the overhead of calling and waiting for external commands.

✅ Multi-Cluster: Can interact with multipl

Frequently Asked Questions

Is io.github.containers/kubernetes-mcp-server safe to use?

io.github.containers/kubernetes-mcp-server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.containers/kubernetes-mcp-server?

io.github.containers/kubernetes-mcp-server can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with io.github.containers/kubernetes-mcp-server?

io.github.containers/kubernetes-mcp-server is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.

✨ Features

A powerful and flexible Kubernetes Model Context Protocol (MCP) server implementation with support for Kubernetes and OpenShift.

✅ Configuration:

Automatically detect changes in the Kubernetes configuration and update the MCP server.
View and manage the current Kubernetes .kube/config or in-cluster configuration.

✅ Generic Kubernetes Resources: Perform operations on any Kubernetes or OpenShift resource.

Any CRUD operation (Create or Update, Get, List, Delete).

✅ Pods: Perform Pod-specific operations.

List pods in all namespaces or in a specific namespace.
Get a pod by name from the specified namespace.
Delete a pod by name from the specified namespace.
Show logs for a pod by name from the specified namespace.
Top gets resource usage metrics for all pods or a specific pod in the specified namespace.
Exec into a pod and run a command.
Run a container image in a pod and optionally expose it.

✅ Namespaces: List Kubernetes Namespaces.

✅ Events: View Kubernetes events in all namespaces or in a specific namespace.

✅ Projects: List OpenShift Projects.

☸️ Helm:

Install a Helm chart in the current or provided namespace.
List Helm releases in all namespaces or in a specific namespace.
Uninstall a Helm release in the current or provided namespace.

🔧 Tekton: Tekton-specific operations that complement generic Kubernetes resource management.

Pipeline: Start a Tekton Pipeline by creating a PipelineRun.
PipelineRun: Restart a PipelineRun with the same spec.
Task: Start a Tekton Task by creating a TaskRun.
TaskRun: Restart a TaskRun with the same spec, and retrieve TaskRun logs via pod resolution.

🔭 Observability: Optional OpenTelemetry distributed tracing and metrics with custom sampling rates. Includes /stats endpoint for real-time statistics. See OTEL.md.

There is NO NEED for external dependencies or tools to be installed on the system. If you're using the native binaries you don't need to have Node or Python installed on your system.

✅ Lightweight: The server is distributed as a single native binary for Linux, macOS, and Windows.

✅ High-Performance / Low-Latency: Directly interacts with the Kubernetes API server without the overhead of calling and waiting for external commands.

✅ Multi-Cluster: Can interact with multipl

io.github.containers/kubernetes-mcp-server

Install in your client