"All items" matching MCP servers:

Enables LLM clients to browse and manage VCF Automation projects, catalog items, and deployments through MCP tools, including provisioning, day-2 actions, and deleting infrastructure.

Universal Docker MCP server for AI assistants (Cursor, Claude Desktop). Manage Docker containers, execute commands, query databases, and handle environment configurations — all through natural language.

Enables agents to evaluate lifecycle actions against fleet policy (quotas, allowlists, TTLs, snapshot preconditions, approval gating), run read-only probes on declared targets, capture fleet snapshots, and inspect a hash-chained receipt ledger — all observe-only, with no mutation paths. It provides a governed, vendor-neutral trust layer where every decision, including denials, is recorded before anything executes.

All-in-one homelab management MCP server. Docker monitoring, volume backup/restore (with compose and env files), Wake-on-LAN, network scanning, and multi-server SSH management.

A comprehensive Model Context Protocol (MCP) server that exposes 216 tools, 7 resources, and 10 runbook prompts for every OpenShift 4 cluster operation an SRE, developer, or operator could need — all driven by an LLM.

Gives an AI agent its own fleet of disposable Linux microVMs on hardware you control, with tools to spawn, execute commands in, fork from identical disk states, list, and destroy them. Enables safe parallel exploration and cleanup all within an isolated VM boundary.

Enables read-only inspection and narrowly scoped maintenance of a local Docker Desktop environment, covering containers, images, logs, stats, Compose status, and Scout vulnerability/SBOM data, plus limited actions such as image pulls, container restarts, dangling-image pruning, and allowlisted Compose redeploys, all without exposing the raw Docker socket to the client.

Enables AI agents to create, drive, checkpoint, reset and delete resettable Windows and Ubuntu desktop VMs on Apple Silicon Macs, giving them real desktops to click, type and screenshot in plus shell commands, file transfer and port forwarding. All processing is local, so agents can work in isolated guests without leaving the Mac.

Enables AI agents to bootstrap a self-contained Android SDK and headless emulator from scratch, then debug and test apps through 25 tools covering screenshots, UI-tree inspection, tapping/typing, APK install and launch, shell/file transfer, settings, and logcat. All downloads and emulator state live inside the project folder, so deleting it fully uninstalls the environment.

Exposes 338 tools for the Proxmox Virtual Environment API, enabling users to inspect and control nodes, QEMU VMs, LXC containers, storage and backups, clustering and HA, users and permissions, firewall rules, disks, Ceph, ACME certificates, SDN, notifications, and resource pools. Includes lifecycle actions, snapshots, migration, metrics, task tracking, and guest-agent command execution, with an optional read-only mode that blocks all writes.

Provides a local API to manage Docker containers and volumes, enabling operations like listing, inspecting, starting, stopping, and removing containers, as well as managing volumes, all through HTTP endpoints without shell commands.

Enables AI agents to deploy and operate self-hosted applications on Linux servers and homelabs through Docker Compose, including zero-config buildpack builds, encrypted secret storage, one-second PostgreSQL/Redis provisioning, and one-call exposure via Cloudflare Tunnel or Tailscale. It also provides container lifecycle and log management plus an optional lightweight web dashboard, all without a persistent daemon.

Enables schema-validated access to all 680 Proxmox VE API endpoints plus curated guest, snapshot, backup, storage, and task tools, with read-only behavior by default and controlled writes when explicitly enabled.

Enables multiple AI agent sessions to share a single Mac's Apple Simulator pool through one shared daemon that tracks leases and auto-dispatches freed simulators to the next waiting caller. It provides simulator UI automation, app lifecycle, profiling, live streaming, crash debugging, and HTTPS interception tools, all gated to the lease holder.

A secure Docker-based environment that allows AI assistants to safely execute code without direct access to the host system by running all code within isolated containers.