#kubernetes

mctl is a self-service Kubernetes platform that automates infrastructure management via natural language. It integrates GitOps (ArgoCD), secrets management (Vault), and automated service onboarding into a unified set of 30+ MCP tools. Engineering teams can deploy, scale, and monitor their clusters directly from Claude, Cursor, or Gemini without manual CLI operations.

eBPF-based GPU causal observability agent with MCP server. Traces CUDA Runtime/Driver APIs and host kernel events to build causal chains explaining GPU latency

A Model Context Protocol (MCP) server that provides tools for discovering Kubernetes services and running kubectl port-forward sessions (optionally with separate log windows). It is designed for MCP clients/LLMs that translate natural language into structured tool calls.

Structured failure knowledge for AI agents — 1,000+ errors across 20 domains. Dead ends, workarounds, error chains, and freshness tracking.

Structured failure knowledge for AI agents — 501 errors across 14 domains. Dead ends, workarounds, and error chains.

AI/ML-powered diagnostic engine for SRE Observability on Konflux and OpenShift. It uses the Model Context Protocol (MCP) and 40+ tools to analyze logs, metrics, and traces, enabling automated RCA and predictive analysis.

A Model Context Protocol (MCP) server that provides secure SSH capabilities for AI assistants, enabling remote command execution, SFTP file transfers, and port forwarding with comprehensive security controls. Features: - 🔐 Secure SSH Command Execution - Execute commands on remote servers with granular security controls - 🛡️ Host Allowlisting - Only connect to pre-configured, trusted servers - 📁 SFTP File Operations - Upload, download, list, and delete files on remote servers - 🌉 SSH Port Forwarding - Create secure tunnels to access remote services - 🔄 Connection Pooling - Persistent connections with automatic management - 🔑 SSH Key Authentication - Secure authentication using SSH private keys - ⚙️ SSH Config Integration - Import servers from your existing SSJ config file - ✅ Command Allowlisting - Restrict which commands can be executed - 📦 Named Services - Pre-configured port forwarding services for common use cases - 🎯 Command Templates - Reusable parameterized commands with variable substitution

AI-powered development productivity platform that enhances software development workflows through intelligent automation and AI-driven assistance. Features Kubernetes deployment intelligence with semantic capability management, documentation testing & validation, organizational pattern management, and shared prompts library.

A Model Context Protocol (MCP) server for managing Rook Ceph storage clusters in Kubernetes environments.

mcp-kubernetes-ro is a Model Context Protocol (MCP) server providing read-only access to Kubernetes clusters for AI assistants. It enables AI models to list resources, get resource details, retrieve pod logs, discover API resources, and perform base64 encoding/decoding operations - all while maintaining security through read-only access. The server leverages your local kubectl configuration (even when kubectl is not required to be installed) and provides a safe, read-only interface to your Kubernetes clusters, preventing any destructive operations while allowing comprehensive cluster inspection and troubleshooting capabilities.

k8s-mcp-server is a Kubernetes and Helm management tool based on Model Context Protocol (MCP), designed specifically for n8n workflow automation platform. Core Features: Kubernetes Management: Provides 11 kubectl tools supporting 19 resource types for querying, monitoring, and management Helm Integration: Complete set of 5 Helm tools including release management, status queries, and configuration management n8n Compatibility: Supports SSE (Server-Sent Events) connections for direct integration into n8n workflows Project Status: Version: 2.2.0 Completion: 89.5% (34/38 features) Architecture: Node.js + Express + MCP SDK Deployment: Docker containerized, supports Kubernetes cluster deployment Main Tools: Resource Query: kubectl_get (with label selector support) Resource Monitoring: Top series tools (nodes/pods/containers) Deployment Management: Scaling, restart, HPA editing Helm Management: Release status, configuration values, deployment history Security Features: Strict input validation and character filtering Only supports safe read and controlled management operations Runs as non-root user with principle of least privilege

Demo eks mcp server

An MCP (Model Context Protocol) server application for Kubernetes operations, providing a standardized API to interact with multiple Kubernetes clusters simultaneously using multiple kubeconfig files.

A Model Context Protocol (MCP) server that enables AI assistants to interact with Kubernetes clusters. It serves as a bridge between AI tools (like Claude, Cursor, and GitHub Copilot) and Kubernetes

In this repo I have created an E-Commerce website and deployed i on Kubernetes and tools used in this Amazon Q with Kubernetes-MCP-Server, Docker, Docker-Compose and Jenkins.

An MCP server used for deep insights into Kubernetes.

Un MCP server per la gestione di cluster Kubernetes su AKS (Azure Kubernetes Service), utilizzabile da Claude Desktop. Offre strumenti per eseguire comandi `kubectl` e `kubectx` direttamente da un'interfaccia conversazionale.

A Model Context Protocol (MCP) Gateway. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE).

K8s MCP Server

Spring AI implementation of a Kubernetes MCP Server

MCP server for Helm package manager

Model Context Protocol server for Cyclops

AI-Assisted GitOps for Kubernetes clusters managed by Flux CD

MCP Server is a tool for injecting faults and performing stress tests on Kubernetes pods and hosts using Chaos Mesh.

ToolHive makes deploying MCP servers easy, secure and fun

An MCP Server for Kubernetes kubernetes, mcp, mcp-server

Simple, modular, and observable Go framework for backend applications.

Mirror of

An MCP (Model Context Protocol) server application for Kubernetes operations, providing a standardized API to interact with multiple Kubernetes clusters simultaneously using multiple kubeconfig files.

Helm MCP provides a bridge between AI assistants and the Helm package manager for Kubernetes. It allows AI assistants to interact with Helm through natural language requests, executing commands like installing charts, managing repositories, and more.

Metoro MCP Server

mcp server for Crossplane

Kubernetes MCP server

AI-powered assistant that enables natural language interactions with Kubernetes clusters. Simplifies DevOps workflows using Model Context Protocol (MCP) servers for executing K8s operations through conversational interfaces.

An implementation of Model Context Protocol (MCP) server for Argo CD.

An implementation of Model Context Protocol (MCP) server for Argo CD, enabling AI assistants to interact with your Argo CD applications through natural language.

Kubernetes Control Plane Server for Managing Multiple Clusters – the central pilot for your k8s fleets

Manage Your Kubernetes Cluster with k8s mcp-server

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.

MCP Server for kubernetes management commands

Kubernetes MCP server for managing DynamicEnv custom resources with real-time updates and AI-driven integration.

MCP k8s server

Model Context Protocol (MCP) server for Kubernetes and OpenShift containers, context, kubernetes, mcp, model, model-context-pr, openshift, protocol

🚀 A MCP server for Kubernetes.

Run and manage MCP servers easily and securely

Helm Chart for MCP Server

A lightweight MCP server that provides natural language processing and API access to Kubernetes clusters, combining both kubectl commands and Kubernetes Python client.

Mirror of

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

AI-Powered Kubernetes Management System: A platform combining natural language processing with Kubernetes management. Users can perform real-time diagnostics, resource monitoring, and smart log analysis. It simplifies Kubernetes management through conversational AI, providing a modern alternative

K8s-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants like Claude to securely execute Kubernetes commands. It provides a bridge between language models and essential Kubernetes CLI tools including kubectl, helm, istioctl, and argocd, allowing AI systems to assist with cluster management, troubleshooting, and deployments

An MCP Server for Kubernetes

mcp-server

Mirror of

AI-powered MCP server understands natural language queries about your Kubernetes cluster

Chat with your Kubernetes Cluster using AI tools and IDEs like Claude and Cursor!

MCP server for enabling AI use local k8s resources

MCP servers for DevOps tools and integrations. Created and maintained by the a37 team.

A Model Context Protocol (MCP) server that enables AI assistants to interact with Kubernetes clusters. It serves as a bridge between AI tools (like Claude, Cursor, and GitHub Copilot) and Kubernetes, translating natural language requests into Kubernetes operations and returning the results in a format the AI tools can understand.

Model Context Protocol (MCP) server for Harvester HCI

Model Context Protocol (MCP) server for Kubernetes and OpenShift

Mirror of

Mirror of

MCP Server for kubernetes management commands

MCP server connecting to Kubernetes