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Kubernetes MCP

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MCP server providing seamless integration with Kubernetes APIs for AI tools.

Kubernetes MCP Server 🚀

Go MCP License Kubernetes

The Kubernetes MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Kubernetes APIs, enabling advanced automation and interaction capabilities for developers, operators, and AI tools.

Table of Contents

Overview 📊

This MCP server enables AI tools to interact with Kubernetes clusters using natural language, providing capabilities to:

  • 🔍 Retrieve and analyze cluster resources
  • 📈 Monitor deployments, pods, and services
  • 🛠️ Execute common kubectl operations through AI interfaces
  • 🔧 Troubleshoot cluster issues with AI assistance

Prerequisites ✅

  1. A Kubernetes cluster with API access
  2. Valid kubeconfig file or service account credentials
  3. Appropriate RBAC permissions for desired operations

Installation 💻

Usage with Claude Desktop

Add the following to your Claude Desktop configuration file (~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%\Claude\claude_desktop_config.json on Windows):

{ "mcpServers": { "kubernetes": { "command": "path/to/k8smcp", "args": [ "stdio", "--kubeconfig=/path/to/your/kubeconfig" ] } } }

Usage with VS Code

Add the following to your VS Code User Settings (JSON) file or .vscode/mcp.json in your workspace:

{ "mcp": { "inputs": [ { "type": "promptString", "id": "kubeconfig_path", "description": "Path to kubeconfig file", "default": "${env:HOME}/.kube/config" } ], "servers": { "kubernetes": { "command": "path/to/k8smcp", "args": [ "stdio", "--kubeconfig=/path/to/your/kubeconfig" ] } } } }

Usage with Cline

Add the following to your Cline configuration file (path/to/cline_mcp_settings.json after selecting "Configure MCP Servers"):

{ "mcpServers": { "kubernetes": { "disabled": false, "timeout": 60, "command": "path/to/k8smcp", "args": [ "stdio", "--read-only=false" "--kubeconfig=/path/to/your/kubeconfig" ], "env": { "K8S_MCP_TOOLSETS": "all" }, "transportType": "stdio" } } }

Make sure to update the command value with the path to your k8smcp executable. You can set the server configurations either using args or env.

Build from source

Clone the repository and build the binary:

git clone https://github.com/briankscheong/k8s-mcp-server.git cd k8s-mcp-server make build

Or install directly with Go:

go install github.com/briankscheong/k8s-mcp-server/cmd/k8s-mcp-server@latest

Command Line Options ⌨️

A Kubernetes MCP Server that provides tools for interacting with Kubernetes clusters. Environment Variables: K8S_MCP_KUBECONFIG Path to kubeconfig file K8S_MCP_NAMESPACE Default Kubernetes namespace K8S_MCP_IN_CLUSTER Use in-cluster config (true/false) K8S_MCP_READ_ONLY Restrict to read-only operations (true/false) K8S_MCP_RESOURCE_TYPES Comma-separated list of resource types K8S_MCP_TOOLSETS Comma-separated list of toolsets to enable K8S_MCP_EXPORT_TRANSLATIONS Export translations (true/false) Usage: k8smcp [command] Available Commands: completion Generate the autocompletion script for the specified shell help Help about any command sse Start sse server stdio Start stdio server Flags: --export-translations Save translations to a JSON file -h, --help help for k8smcp --in-cluster Use in-cluster config instead of kubeconfig file --kubeconfig string Path to the kubeconfig file (default "/Users/briancheong/.kube/config") --namespace string Default Kubernetes namespace to target (default "default") --read-only Restrict operations to read-only (no create, update, delete) (default true) --resource-types strings Comma separated list of Kubernetes resource types to enable (pods,deployments,services,configmaps,namespaces,nodes) (default [all]) --toolsets strings Comma separated list of tools to enable (default [all]) -v, --version version for k8smcp Use "k8smcp [command] --help" for more information about a command.

Server Transport Options 🔄

stdio

The stdio transport is the default and recommended option for most users for local integration:

k8smcp stdio --kubeconfig=/path/to/your/kubeconfig

SSE

The sse transport provides support for HTTP-based JSON-RPC message transport. This can be helpful when deploying the server in a Kubernetes cluster that needs to expose a port for client connection.

k8smcp sse --in-cluster=true

[!NOTE] The --in-cluster=true flag needs to be set if the server is deployed in a Kubernetes cluster.

Access Control 🔒

By default, the server applies the permissions of the provided kubeconfig or service account. For enhanced security, you can:

  1. Create a dedicated service account with restricted RBAC permissions
  2. Set namespace limits to prevent cross-namespace operations
  3. Enable read-only mode to prevent mutations to cluster state

Tools 🧰

The Kubernetes MCP Server provides a comprehensive set of tools for interacting with your Kubernetes cluster.

Resource Operations 📦

  • get_pod - Get detailed information about a specific pod

    • namespace: Pod namespace (string, optional, defaults to current namespace)
    • name: Pod name (string, required)
  • list_pods - List pods in a namespace

    • namespace: Namespace to list pods from (string, optional, defaults to current namespace)
    • label_selector: Filter pods by label selector (string, optional)
    • field_selector: Filter pods by field selector (string, optional)
  • get_pod_logs - Get logs from a pod

    • namespace: Pod namespace (string, optional, defaults to current namespace)
    • name: Pod name (string, required)
    • container: Container name (string, optional, defaults to first container)
    • tail_lines: Number of lines to retrieve from the end (number, optional)
    • previous: Get logs from previous container instance (boolean, optional)
  • get_deployment - Get information about a specific deployment

    • namespace: Deployment namespace (string, optional, defaults to current namespace)
    • name: Deployment name (string, required)
  • list_deployments - List deployments in a namespace

    • namespace: Namespace to list deployments from (string, optional, defaults to current namespace)
    • label_selector: Filter deployments by label selector (string, optional)
  • get_service - Get information about a specific service

    • namespace: Service namespace (string, optional, defaults to current namespace)
    • name: Service name (string, required)
  • list_services - List services in a namespace

    • namespace: Namespace to list services from (string, optional, defaults to current namespace)
    • label_selector: Filter services by label selector (string, optional)
  • get_configmap - Get information about a specific ConfigMap

    • namespace: ConfigMap namespace (string, optional, defaults to current namespace)
    • name: ConfigMap name (string, required)
  • list_configmaps - List ConfigMaps in a namespace

    • namespace: Namespace to list ConfigMaps from (string, optional, defaults to current namespace)
    • label_selector: Filter ConfigMaps by label selector (string, optional)
  • list_namespaces - List all namespaces in the cluster

    • No parameters required
  • list_nodes - List all nodes in the cluster

    • No parameters required

Management Operations ⚙️

  • delete_pod - Delete a pod from a namespace

    • namespace: Pod namespace (string, optional, defaults to current namespace)
    • name: Pod name (string, required)
    • grace_period_seconds: Grace period before deletion (number, optional)
  • scale_deployment - Scale a deployment to a specific number of replicas

    • namespace: Deployment namespace (string, optional, defaults to current namespace)
    • name: Deployment name (string, required)
    • replicas: Number of replicas (number, required)

[!IMPORTANT] By default, tools that involve modification of resources in the cluster are disabled. To enable them, you have to set the --read-only=false flag or the K8S_MCP_READ_ONLY=false environment variable.

Future Enhancements 🔮

  • Enhanced RBAC integration for fine-grained access control
  • Support for more kubernetes resources
  • Support for custom resource definitions (CRDs)
  • Helm chart management capabilities for deployment
  • Cluster monitoring and alerting integration
  • Support for multiple concurrent cluster connections

Contributing 👥

Contributions are welcome! Please feel free to submit a Pull Request.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License ⚖️

This project is licensed under the MIT License - see the LICENSE file for details.


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