"browser use" matching MCP servers:

Enables AI agents to see and drive Kasm Workspaces desktops by starting and stopping sessions, taking screenshots, and performing clicks, typing, key presses, and scrolling through MCP clients or as a native Hermes Agent plugin.

Enables MCP agents to automate real GUI applications on headless desktops, providing background mouse/keyboard control, window/process management, screenshots, and safe human handoff without disturbing the user's desktop.

Enables AI coding agents to perform automated Blender UI testing, user-story validation, and computer-use workflows inside an isolated GPU-partitioned Windows 11 VM without disrupting the host desktop.

Enables AI agents to spin up disposable Tenki microVM sandboxes in seconds and use them to run code, manage files, run git commands, and expose preview URLs.

Nido is a local QEMU VM manager. Install it on your computer from https://github.com/Josepavese/nido and run nido mcp via stdio, or use npx -y nido-mcp@latest mcp with QEMU installed locally. It manages VMs on that same computer; a server hosted by Glama cannot access your local VM inventory.

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.

Enables a computer-use agent to see and drive one isolated, sandboxed Linux desktop by exposing Anthropic's computer toolset actions alongside launching apps and listing windows, with screenshots scaled to a 1280-pixel longest side. It runs as a stdio MCP server scoped to a single screen and authenticated by an agent token.

A remote MCP bridge that lets MCP clients use Modal sandboxes for Linux execution, dependency installation, Git operations, GPU jobs, and invoking deployed Modal Functions.

Enables AI agents to operate disposable Linux computers via MCP, providing tools for shell, file read/write, directory listing, and port exposure. It also supports browser automation and integration with any MCP-compatible client.

Enables AI assistants to create isolated Kubernetes Pod sessions for real-time shell command execution, file management, and Node.js code execution, with automatic TTL-based cleanup.

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.

Provides AI agents with isolated virtual desktops containing a real Chromium browser, enabling them to see, click, type, and navigate like a human, with features like snapshots and remote control.

Enables AI agents to create isolated Docker runtimes, execute commands, manage workspace files, drive a headed browser, and retrieve artifacts through eight semantic MCP tools, with progressive capability discovery and explicit sandbox lifecycle.

A Model Control Protocol server implementation that allows Claude Desktop to use Deepseek models running in Docker, enabling seamless integration between Claude Desktop and Deepseek's language models.

Enables AI agents to operate a real, private, local Docker-based computer with durable files, terminal access, web research, and a persistent browser or desktop. It supports multiple agent clients via MCP or OpenAPI, with live viewing and human takeover.

Gives a coding agent its own Docker-hosted Linux desktop with XFCE, Chromium, Blender, LibreOffice, GIMP and a sudo shell, exposing tools for screenshots, mouse and keyboard input, window focus, shell commands, file read/write, opening URLs or GUI apps, and headless Blender renders. The agent can watch and drive that desktop live from a browser while working on the shared project folder.

Enables LLMs to remotely control VirtualBox VMs and Playwright browsers on Windows, including VM lifecycle actions, in-guest commands, browser automation, window management, and service monitoring via REST API and MCP.

Enables management of a UGREEN NAS running UGOS over SSH and SFTP, exposing 39 tools for system status, Docker containers/images/networks/compose, files and data transfer, backups, and network inspection. Every mutating action runs through a dry-run plan with a single-use confirmation token, so operations are reviewed before anything changes.

Connects any MCP client to a deterministic in-browser Docker simulation so a user's own AI can teach by inspecting and mutating world state, rewinding and comparing events, running 27 "what-if" experiments, tracing concept relationships, and quizzing the learner. It exposes 14 typed tools over Streamable HTTP with bearer-token auth, needing no hosted AI or server-side lab state.

Enables AI agents to fully control an Android emulator via MCP, including UI interaction, screenshots, APK installation, logging, and clipboard access, with optional live browser viewing for humans.