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2025-04-14

A Kubernetes MCP (Model Control Protocol) server that enables interaction with Kubernetes clusters through MCP tools.

3 years

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mcp-k8s

A Kubernetes MCP (Model Control Protocol) server that enables interaction with Kubernetes clusters through MCP tools.

Features

  • Query supported Kubernetes resource types (built-in resources and CRDs)
  • Perform CRUD operations on Kubernetes resources
  • Configurable write operations (create/update/delete can be enabled/disabled independently)
  • Connects to Kubernetes cluster using kubeconfig

Preview

Interaction through cursor

Use Cases

1. Kubernetes Resource Management via LLM

  • Interactive Resource Management: Manage Kubernetes resources through natural language interaction with LLM, eliminating the need to memorize complex kubectl commands
  • Batch Operations: Describe complex batch operation requirements in natural language, letting LLM translate them into specific resource operations
  • Resource Status Queries: Query cluster resource status using natural language and receive easy-to-understand responses

2. Automated Operations Scenarios

  • Intelligent Operations Assistant: Serve as an intelligent assistant for operators in daily cluster management tasks
  • Problem Diagnosis: Assist in cluster problem diagnosis through natural language problem descriptions
  • Configuration Review: Leverage LLM's understanding capabilities to help review and optimize Kubernetes resource configurations

3. Development and Testing Support

  • Quick Prototype Validation: Developers can quickly create and validate resource configurations through natural language
  • Environment Management: Simplify test environment resource management, quickly create, modify, and clean up test resources
  • Configuration Generation: Automatically generate resource configurations that follow best practices based on requirement descriptions

4. Education and Training Scenarios

  • Interactive Learning: Newcomers can learn Kubernetes concepts and operations through natural language interaction
  • Best Practice Guidance: LLM provides best practice suggestions during resource operations
  • Error Explanation: Provide easy-to-understand error explanations and correction suggestions when operations fail

Architecture

1. Project Overview

An stdio-based MCP server that connects to Kubernetes clusters and provides the following capabilities:

  • Query Kubernetes resource types (including built-in resources and CRDs)
  • CRUD operations on Kubernetes resources (with configurable write operations)

2. Technical Stack

  • Go
  • mcp-go SDK
  • Kubernetes client-go library
  • Stdio for communication

3. Core Components

  1. MCP Server: Uses mcp-go's server package to create an stdio-based MCP server
  2. K8s Client: Uses client-go to connect to Kubernetes clusters
  3. Tool Implementations: Implements various MCP tools for different Kubernetes operations

4. Available Tools

Resource Type Query Tools

  • get_api_resources: Get all supported API resource types in the cluster

Resource Operation Tools

  • get_resource: Get detailed information about a specific resource
  • list_resources: List all instances of a resource type
  • create_resource: Create new resources (can be disabled)
  • update_resource: Update existing resources (can be disabled)
  • delete_resource: Delete resources (can be disabled)

Usage

mcp-k8s supports two communication modes:

1. Stdio Mode (Default)

In stdio mode, mcp-k8s communicates with the client through standard input/output streams. This is the default mode and is suitable for most use cases.

# Run in stdio mode (default)
{
    "mcpServers":
    {
        "mcp-k8s":
        {
            "command": "/path/to/mcp-k8s",
            "args":
            [
                "-kubeconfig",
                "/path/to/kubeconfig",
                "-enable-create",
                "-enable-delete",
                "-enable-update",
                "-enable-list"
            ]
        }
    }
}

2. SSE Mode

In SSE (Server-Sent Events) mode, mcp-k8s exposes an HTTP endpoint to mcp client. You can deploy the service on a remote server (but you need to pay attention to security)

# Run in SSE mode
./bin/mcp-k8s -kubeconfig=/path/to/kubeconfig -transport=sse -port=8080 -host=localhost -enable-create -enable-delete -enable-list -enable-update
# This command will open all operations

mcp config

{
  "mcpServers": {
    "mcp-k8s": {
      "url": "http://localhost:8080/sse",
      "args": []
    }
  }
}

SSE mode configuration:

  • -transport: Set to "sse" to enable SSE mode
  • -port: HTTP server port (default: 8080)
  • --host: HTTP server host (default: "localhost")

Getting Started

Direct Usage

You can directly download the binary for your platform from the releases page and use it immediately.

Build

git clone https://github.com/silenceper/mcp-k8s.git
cd mcp-k8s
go build -o bin/mcp-k8s cmd/server/main.go

Command Line Arguments

  • -kubeconfig: Path to Kubernetes configuration file (uses default config if not specified)
  • -enable-create: Enable resource creation operations (default: false)
  • -enable-update: Enable resource update operations (default: false)
  • -enable-delete: Enable resource deletion operations (default: false)
  • -enable-list: Enable resource list operations (default: true)
  • -transport: Transport type (stdio or sse) (default: "stdio")
  • -host: Host for SSE transport (default "localhost")
  • -port: TCP port for SSE transport (default 8080)

Integration with MCP Clients

mcp-k8s is an stdio-based MCP server that can be integrated with any MCP-compatible LLM client. Refer to your MCP client's documentation for integration instructions.

Security Considerations

  • Write operations are strictly controlled through independent configuration switches
  • Uses RBAC to ensure K8s client has only necessary permissions
  • Validates all user inputs to prevent injection attacks

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    Reviews

    3 (1)
    Avatar
    user_dBB0JaKz
    2025-04-18

    As a dedicated MCP user, I'm thoroughly impressed with mcp-k8s by silenceper. This tool seamlessly integrates Kubernetes capabilities into my workflow, simplifying container management and enhancing productivity. The documentation is clear, making setup straightforward even for those new to k8s. Highly recommend for anyone looking to streamline their Kubernetes operations!