"Kubernetes cluster management with Argo CD GitOps" matching MCP servers:

Enables AI assistants to manage SLURM cluster jobs with safety guardrails, including file transfer, job submission, log reading, and remote command execution.

Manages Kubernetes clusters through kubectl and Helm operations including pod cleanup, node management, and troubleshooting.

An MCP server that enables AI assistants to interact with Kubernetes clusters by translating natural language into kubectl and Helm operations. It allows users to query, manage, and diagnose Kubernetes resources and cluster states through a seamless integration.

MCP server that gives AI assistants full access to Kubernetes clusters and Helm, exposing 73 tools for managing pods, deployments, services, configs, secrets, logs, exec, port-forwarding, Helm lifecycle, and more.

An MCP server for generating Kubernetes manifests (deployments, services, configmaps, secrets, ingresses, namespaces) and performing kubectl operations like apply, delete, get, describe, logs, and exec.

Enables AI agents to efficiently manage and monitor background processes, with features like process startup, termination, log retrieval, and resource management.

Enables remote server control via SSH through Claude, supporting command execution, file transfers, and multi-server management with both standard and streamable HTTP protocols.

Enables executing Python code, managing environments and packages, and performing file operations within Docker containers.

Exposes a Kubernetes cluster to MCP-compatible AI clients, enabling read-only and optional write operations on cluster resources like pods, deployments, and namespaces through natural language.

MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.

Enables AI-assisted development tools like Cursor, Cline, and Windsurf to request user confirmation before acting, running shell commands and displaying their output inside a Qt feedback window that returns user notes and logs to the model. This human-in-the-loop loop lets the assistant consolidate many speculative tool calls into a single feedback-aware request, saving API usage and improving accuracy.

The server enables core Kubernetes management by acting as a wrapper for standard kubectl operations like get, describe, apply, and delete. It allows users to execute fundamental cluster tasks including scaling, patching, and resource rollout actions.

Enables managing a parametric CLI command registry with profile isolation and pipelines from Cursor agents via 11 MCP tools.

Stateless command execution and process management MCP server for Claude. Enables searching file contents, executing commands with safety limits, listing processes, and terminating processes.

Infrastructure access broker for AI agents — SSH & Kubernetes. Per-operation ephemeral credentials minted by a separate signer; the model never touches one. MCP stdio / HTTP+OIDC.

Enables agents to launch and control interactive terminal sessions, inspecting screen text and formatting while sending keyboard and mouse input. Supports real pseudoterminals with resizing, snapshots, and session lifecycle management.

Enables AI assistants to manage remote servers via SSH with agentless command execution, file operations, and service management.

Enables AI clients to manage remote Linux workspaces over OpenSSH, including file read/write/edit, glob/grep search, shell command execution, and background job management, with authentication handled interactively in a terminal.

A unified CLI, web dashboard, and Python API for SLURM job management.

Enables MCP-based interaction with a local Hermes Agent installation, providing file read/search, skill management, and optional sandboxed write, terminal, and memory tools.

Enables AI agents to control virtual computers through Orgo, supporting computer management, screen actions, shell commands, file operations, streaming, and AI completions.

Enables asynchronous and parallel execution of Gemini CLI tasks within Claude Code, allowing background task management and multi-instance parallelism.

Enables sudo-free management of /etc/hosts entries for Hack The Box and lab work, with a zero-dependency MCP server for AI coding agents.

A secure remote server management tool based on MCP protocol, supporting SSH connections, command execution, and SFTP file transfers.

Provides LLMs with local filesystem operations (read/write files, list directories) and command execution via MCP, enabling file management and task automation within AI clients.

Enables launching and controlling real, visible Windows Telnet windows by reading their screen buffers and sending keyboard events, with session management and text-waiting capabilities.

Enables headless slicing with OrcaSlicer, preset management, G-code analysis, and printer control over LAN for Klipper, OctoPrint, Prusa, Duet, Elegoo, and Bambu printers.

Manage macOS launchd jobs from MCP tools with support for Python-script tasks, scheduling, logs, and lifecycle management.

Enables MCP clients to run and resume Vibe coding-agent sessions in project directories with configurable limits, model/agent/tool controls, worktrees, and installation management.

MCP server that lets AI agents drive macOS through Hammerspoon via typed tools, with injection-safe Lua execution and tools for window management, app control, API search, and config reload.