"How to interact with and read the browser tool console and DOM" matching MCP servers:

Enables policy-gated control of Hyper-V virtual machines on Windows through a single local stdio server, covering VM inventory, power, checkpointing, PowerShell Direct guest diagnostics and file transfer, synthetic keyboard/mouse console input, serial consoles, ISO media mounting, and serial WinDbg preparation. Every mutation requires an explicit VM allowlist and per-capability flag, with read-only operation as the default.

Connects MCP-compatible coding agents to VMware vCenter to query information about virtual machines, hosts, clusters, datastores, datacenters, and networks.

A Model Context Protocol server that enables AI assistants to interact with Kubernetes clusters through natural language, supporting core Kubernetes operations, monitoring, security, and diagnostics.

Enables AI assistants to manage Docker/Podman deployments through Komodo, supporting container management, server orchestration, and infrastructure control via natural language.

Enables AI agents to interact with Kubernetes clusters through progressive disclosure, where agents discover TypeScript modules via filesystem, write and execute code, and receive summarized console output for cluster management tasks.

Read-only MCP server that allows AI assistants to query and monitor KVM Fleet devices, audit logs, and console sessions through the official REST API.

Enables building Huawei eNSP network topologies and configuring lab devices through console ports, including device creation, wiring, layout, validation, and batch configuration.

Enables AI assistants to inspect and manage OpenStack clouds, including listing instances, checking quotas, and retrieving console logs. It supports opt-in write operations for creating and deleting servers, with a read-only default.

Enables users to interact with container registries through the ORAS CLI, providing information about container images, platforms, and signatures via natural language queries.

Allows Claude and other AI assistants to interact with Docker through the MCP protocol, enabling container and image management including listing, running, stopping, and pulling Docker resources.

A Model Context Protocol server that enables AI clients to interact with virtual Ubuntu desktops, allowing them to browse the web, run code, and control instances through mouse/keyboard actions and bash commands.

Enables AI assistants to manage CloudLab/Emulab experiments, including listing experiments, controlling nodes (reboot, reload, power cycle), retrieving console logs, extending experiment time, and terminating experiments.

Enables control of OpenSimulator virtual world servers through console commands, supporting region management, user administration, terrain editing, object manipulation, and HyperGrid operations via the REST console API.

A gateway for Generative AI systems to interact with multiple Kubernetes clusters through Model Context Protocol, enabling comprehensive Kubernetes resource operations and multi-cluster management.

Enables AI coding agents to work inside a disposable Windows guest desktop, where they can run shell commands, launch applications, inspect and operate native GUI controls, perform browser DOM actions, and transfer files. Fresh observations, PNG screenshots, and hashed artifacts let agents verify results without touching the host desktop.

MCP server that exposes Podman host management as tools, allowing natural language control of containers, images, volumes, networks, and pods. Includes an administrative console with safety profiles for gated access.

An MCP server implementation that enables AI assistants to interact with and manage Sakura Cloud infrastructure, including servers, disks, networks, and containerized applications.

Enables an LLM agent to control a Windows guest in VMware Workstation, including power and snapshot management, kernel debugging via KDNET or serial, real-time terminal access, file transfer, and console screenshots, with synchronized state across tools.

MCP server for the Longhorn distributed storage manager API, enabling full read/write management of volumes, snapshots, backups, and other resources, with optional read-only mode and stdio/HTTP transports.

Enables agents and tests to drive a real iOS 16.5 Safari instance running in QEMU, taking screenshots, performing touches and swipes, reading the DOM, executing JavaScript, and inspecting console and network activity. It also manages the emulated software keyboard and VM lifecycle so web pages can be exercised much as a user would on an iPhone.