"MCP server for executing CLI commands and managing development servers" matching MCP servers:

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

A Node.js application that provides a JSON-RPC interface to interact with CO2 sensor data, working in both simulation mode and with real Raspberry Pi Pico hardware connections.

Enables LLM agents to control NVIDIA Run:AI infrastructure by dynamically searching and executing over 426 Run:AI APIs through MCP tools.

MCP server that wraps the vmm-api CLI to enable listing and managing VMM network topologies through natural language.

MCP server to give every agent an ephemeral Linux sandboxes for executing shell commands.

An MCP server for managing Incus virtual machines through structured tools for command execution, file management, and snapshot operations. It enables AI agents to puppeteer VMs on a masternode by wrapping the Incus CLI.

Enables AI assistants to run, manage, and debug BSD/Illumos VMs through natural language. Supports creating FreeBSD, OpenBSD, NetBSD, and OmniOS VMs, executing commands inside them, accessing console logs, and managing snapshots.

An OpenAPI-driven MCP server for Proxmox VE that provides 2 generic tools to execute any of 480+ API operations dynamically, plus tools for executing commands inside VMs and containers, saving ~95% tokens.

Connects AI agents to microsandbox for creating lightweight sandboxes, executing code, managing files, and monitoring resources.

Enables AI assistants to automate DDEV development environments, including project management, database operations, and executing commands for various CMS frameworks.

MCP server for managing Proxmox VE clusters — provision VMs and containers, manage snapshots and backups, execute commands, browse storage, and monitor resources through natural language

Enables managing Docker containers (run, list, stop, remove, view logs) through Claude Desktop using natural language commands.

Enables AI assistants to interact with DDEV local development environments by querying databases, managing project states, and executing container commands. It provides comprehensive control over local services with a security-first approach using whitelisted operations.

Enables AI assistants to manage Portainer container environments through natural language, including deploying stacks, managing containers, images, volumes, networks, and executing commands.

Provides MCP tools for setting up and managing Hephaestus development environment with Docker containers, including starting/stopping services, initializing databases, and troubleshooting.

MCP server that integrates with Coolify to let AI assistants manage Coolify instances via a clean toolkit wrapping the official REST API.

Provides tools for managing vcluster instances, enabling AI assistants to list, describe, create, delete, pause, resume, and execute commands inside virtual clusters.

An MCP server that enables managing Parallels Desktop virtual machines, including listing, starting, stopping, suspending, and executing commands inside VMs.

An MCP server that enables interaction with development containers through the devcontainers CLI, allowing users to start, run commands in, and execute arbitrary shell commands inside devcontainers.

A MCP server that can run Kubernetes commands with a given kubeconfig path and provide interpretation of the commands.