"A server for creating UI components from PNG files" 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 VMware ESXi/vCenter management server based on MCP (Machine Control Protocol), providing simple REST API interfaces for virtual machine management.

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

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.

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

Enables AI agents to capture high-quality screenshots from running QEMU virtual machines using the QEMU Machine Protocol (QMP), automatically discovering VMs and returning screenshots as PNG images.

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.

Connects to a Kubernetes cluster through the current kubectl context and enables listing, creating, deleting, and describing pods, services, deployments, nodes, and namespaces, plus retrieving logs for debugging.

Enables connection to a Kubernetes cluster to list and manage pods, services, deployments, nodes, and namespaces, including creating, deleting, describing pods and retrieving logs for debugging.

Enables connecting to a Kubernetes cluster to manage it, including listing pods, services, deployments, nodes, and namespaces, creating and deleting pods, describing pods, and retrieving logs for debugging.

Linux sandboxes for AI agents, each a Firecracker microVM. Run code, keep files, pause and wake with memory kept, snapshot and fork.

A remote Streamable HTTP MCP server that lets web clients like Claude.ai and ChatGPT manage cloud machines with OAuth login — creating, starting, pausing and deleting machines, running commands, reading and writing files, managing snapshots and public ports, and driving an optional Linux desktop via screenshots and input actions. Long-running work can be backgrounded and operations polled, so browser-based clients stay within their timeouts.

Enables MCP clients to manage disposable cloud Linux machines by creating and controlling them, executing commands, reading and writing files, creating snapshots, publishing ports, and issuing SSH tokens.

Local MCP server for iOS Simulator and macOS app automation with a TypeScript MCP layer and Swift native bridge. Enables UI inspection, input automation, and simulator control through unified generic tools.

Extensible MCP server for managing a homelab from Claude AI, enabling control of VMs, snapshots, services, and files via natural language.

Enables agents and humans to lease exclusive Android emulator sessions for bounded periods via MCP or HTTP, with a live web UI for watching or taking over active sessions.

Enables comprehensive management of Vast.ai GPU cloud instances, including searching for GPU offers, creating and managing instances, executing remote commands via SSH, and monitoring background tasks for ML training workflows.

MCP server for generating and configuring development containers from devcontainer.json files, enabling management of devcontainer environments through tools like devcontainer_up, devcontainer_exec, and cleanup.

Enables AI assistants to manage virtual machines via natural language, including creating, editing, and VNC control.

Local MCP server for Android emulator control, exposing tools to get emulator status, inspect UI tree, capture screenshots, and open App settings via Appium and ADB.