Operate a k3s / Kubernetes cluster from your AI agent — safe-by-default MCP server.
MCP server that connects coding agents to Next.js 16+ dev servers for runtime diagnostics, route inspection, logs, and docs search.
Key Features: Automatic discovery of Next.js 16+ dev servers and their MCP endpoints Proxy runtime tools including errors, logs, routes, and server actions Gateways for version-specific Next.js docs and browser automation CLI Manage Proxmox VE clusters via AI assistants with tools for VMs, containers, snapshots, backups, firewall, and migrations.
Key Features: 29 tools covering discovery, provisioning, lifecycle, storage, snapshots, backups, firewall, and mi… Two-step confirmation for destructive operations like delete and rollback Supports QEMU VM guest agent command execution (not for containers) MCP server for inspecting, analyzing, and triggering ZenML MLOps and LLMOps pipeline resources.
Key Features: Query ZenML projects, tags, builds, artifacts, models, and services List and inspect pipeline runs, snapshots, and deployments Trigger pipeline runs using snapshots Golang MCP server for Kubernetes cluster operations including resource management, logs, and commands.
Key Features: List Kubernetes contexts, namespaces, nodes, and pods Get, create, and modify any Kubernetes resources including pods, services, deployments Retrieve Kubernetes events and pod logs MCP server providing Docker Hub API access for searching and managing repositories and images.
Key Features: Search repositories with advanced filters (architecture, OS, badges, categories) List namespaces and repositories under namespaces Get repository metadata and check repository/tag existence TypeScript MCP server for managing Kubernetes clusters via kubectl commands and kubeconfig authentication.
Key Features: Connects to Kubernetes clusters using kubeconfig from multiple sources Supports kubectl commands: get, describe, create, apply, delete, logs, scale, patch Manages kubectl contexts and explains resource schemas Manage VMware vSphere Kubernetes Service supervisors, namespaces, and Tanzu Kubernetes Clusters through MCP.
Key Features: Supervisor cluster status and compatibility checks Namespace lifecycle and resource management TKC lifecycle management with version and VM class discovery Reference MCP stdio server for observing Vercel projects and deployments.
MCP server enabling natural language interaction with Kubernetes clusters for management and diagnostics.
Key Features: Natural language Kubernetes cluster management Crash diagnosis with logs and event analysis Automated deployment with best practices MCP server for governed VMware vCenter and ESXi VM lifecycle, deployment, investigation, and cluster operations.
Key Features: VM lifecycle and deployment operations Guest operations, snapshots, and migrations MCP server for managing Docker containers and Compose stacks via AI agents.
Key Features: Create standalone Docker containers Deploy Docker Compose stacks from YAML