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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

Desktop MCP

de jaimenbellversión 0.1.1i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.jaimenbell/desktop-mcp

Instalar

Resumen

Descripción del creador (original en inglés)

Windows desktop-control MCP server: screenshot, window mgmt, mouse/keyboard input, recording.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Web y navegadores

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

  • PyPIuv de Python instalado (para el comando uvx)

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

{
  "mcpServers": {
    "desktop": {
      "command": "uvx",
      "args": [
        "desktop-mcp"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add desktop -- uvx desktop-mcp

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "desktop": {
      "command": "uvx",
      "args": [
        "desktop-mcp"
      ]
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "desktop": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "desktop-mcp"
      ]
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub jaimenbell, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Web y navegadoresi

  • Más estrellas que el 0% de los otros 1378 servidores de esta categoría
  • Publicado en el registro más recientemente que el 19% de los otros 1378 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 1378 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Desktop MCP?

Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.1.1) llegó al registro hace 4 meses.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Browser Use, Chrome DevTools MCP, MCP Server Browser

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Browser Use

de browser-use

Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.

Computadora o nube★ 120.087MITActualizado hace 17 días
Instalar

Chrome DevTools MCP

de ChromeDevTools

MCP server for Chrome DevTools

Se ejecuta en tu computadora★ 54.821Apache-2.0Actualizado hace 16 días
Instalar

MCP Server Browser

de bytedance

MCP server for browser use access

Se ejecuta en tu computadora★ 39.550Apache-2.0Actualizado hace 14 meses
Instalar

README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

desktop-mcp

Windows desktop-control MCP server: screenshot, window management, mouse/keyboard input, and ffmpeg screen-recording, config-gated by tool group (input off by default) -- built to the same standard as mcp-factory and rag-mcp: own pyproject, fastmcp server, honest README, real test suite.

Quickstart

pip install desktop-mcp
// ~/.claude.json (or any MCP-host stdio client config)

{ "mcpServers": { "desktop-mcp": { "command": "desktop-mcp" // or: "command": "python", "args": ["-m", "desktop_mcp"] } } }

window/input/record tool groups are env-gated -- input stays off unless you explicitly opt in. See Env vars below for the full table.

Tool groups

GroupToolsDefault state
observescreenshot, list_windows, get_active_window, window_infoalways on
windowfocus_window, move_resize_window, minimize_window, restore_windowenv-gated, off unless DESKTOP_MCP_ENABLE_WINDOW=1
inputmouse_move, mouse_click, mouse_drag, mouse_scroll, key_press, hotkey, type_textenv-gated, OFF by default -- requires DESKTOP_MCP_ENABLE_INPUT=1
recordrecord_start, record_status, record_stopenv-gated, off unless DESKTOP_MCP_ENABLE_RECORD=1

A disabled group returns a structured policy_refusal error (never a silent no-op, never a crash). Input actions are additionally rate-capped (default 60 actions/min, tunable via DESKTOP_MCP_RATE_LIMIT_PER_MIN) -- exceeding the cap returns a structured rate_limited error.

This is defense-in-depth: harness-level permission prompts are the first gate, but the server itself refuses input/window/record actions unless its own env explicitly enables them, so a misconfigured or overly-permissive harness can't turn on capabilities the operator didn't opt into for this process.

Security

Read this before you register desktop-mcp. This is a desktop-control server; what it can do to your machine is spelled out here plainly so you can make an informed decision. Honesty about the blast radius is the point.

  • The `observe` group (`screenshot`, window enumeration) is ALWAYS ON and cannot be disabled. Any caller that can reach this server can capture the contents of *any* visible window on the machine -- including a password manager, an authenticator/2FA app, a seed phrase, a banking tab, or a private message. screenshot returns a file path to a PNG written to the scratch dir (default %TEMP%\desktop-mcp-scratch), not inline pixels, so captured screen contents also persist on disk until that directory is cleared. Treat the scratch dir as sensitive and run this server only on a machine and under a harness you trust.
  • `DESKTOP_MCP_ENABLE_INPUT=1` grants keystroke and mouse injection into the focused window -- this is RCE-equivalent. With the input group enabled, a caller can type commands, press hotkeys, and drive the mouse in whatever window currently has focus (a terminal, a browser, an admin tool). It is OFF by default for exactly this reason; turn it on only when you understand that you are handing the caller the keyboard. When disabled every input tool returns a structured policy_refusal (never a silent action).
  • Least privilege: leave input, window, and record groups off unless a specific task needs them, keep this server on a trusted host, and do not run it elevated (admin) unless you have accepted that an elevated input group can drive elevated windows.

The env-gating, default-off input group, structured refusals, and rate cap described above are the enforced controls; this section states, without softening, what remains reachable by design.

Honest-capabilities table

Every claim below maps to the file that implements it and the test(s) that verify it -- no capability is asserted without a corresponding implementation + test.

ClaimImplementationVerified by
Capture a screenshot (monitor / region / window) as PNGdesktop_mcp/groups/observe.py::screenshottests/test_observe.py::TestScreenshot, live: tests/test_live_smoke.py::test_live_screenshot_real_png
Enumerate windows / get active window / look up by titledesktop_mcp/groups/observe.pytests/test_observe.py::TestListWindows, TestGetActiveWindow, TestWindowInfo
Focus / move+resize / minimize / restore a windowdesktop_mcp/groups/window.pytests/test_window.py
Mouse move/click/drag/scroll, key press/hotkey, type textdesktop_mcp/groups/input_tools.pytests/test_input.py (mocked pyautogui only -- see Limitations)
Screen recording via ffmpeg gdigrab, hard duration cap, graceful stopdesktop_mcp/groups/record.pytests/test_record.py, live: tests/test_live_smoke.py::test_live_record_real_mp4
Input group OFF by default, structured refusal when disableddesktop_mcp/config.py::group_enabled, gatedtests/test_config.py::TestGroupEnabled, tests/test_input.py::TestGateDisabledByDefault
Rate cap on input actions (default 60/min)desktop_mcp/config.py::TokenBucket, RateLimiterRegistrytests/test_config.py::TestTokenBucket, tests/test_input.py::TestRateLimit
DPI-awareness bootstrap (per-monitor-v2) so mss/pyautogui coords agree on scaled displaysdesktop_mcp/config.py::ensure_dpi_awarenesstests/test_config.py::TestDpiAwareness (idempotency only; visual coord-agreement is not automated -- see Limitations)
Coordinate validation against virtual-desktop bounds before any mouse actiondesktop_mcp/groups/input_tools.py::_validate_pointtests/test_input.py (out-of-bounds cases)
Orphan-guard: a stale recorder from a crashed process gets killed before a new one startsdesktop_mcp/groups/record.py::_orphan_guardtests/test_record.py::TestRecordStart::test_orphan_guard_kills_stale_recorder

Limitations (read before relying on this)

  • UIPI (User Interface Privilege Isolation) -- protects window handles, not input. A medium-integrity process (this server, unless you elevate it) cannot manipulate a *window* owned by a higher-integrity (elevated/admin) process: focus_window, move_resize_window, minimize_window, and restore_window go through pygetwindow's window-handle APIs (desktop_mcp/groups/window.py), which Windows blocks under UIPI and which this server surfaces as a structured window_action_failed error naming UIPI, never a silent no-op. Keyboard/mouse input tools ARE covered by UIPI too -- and worse, they fail silently. type_text, hotkey, key_press, and the mouse actions (desktop_mcp/groups/input_tools.py) go through pyautogui, whose Windows backend actually calls the legacy keybd_event/mouse_event Win32 functions (not SendInput -- pyautogui tried SendInput and reverted to the older calls; see _pyautogui_win.py in the installed package). Per Microsoft's own docs, UIPI applies to synthesized input generally: "[applications] are permitted to inject input only into applications that are at an equal or lesser integrity level" (MSDN SendInput reference), and critically, "neither GetLastError nor the return value will indicate the failure was caused by UIPI blocking." keybd_event/mouse_event are void-return legacy calls with no failure signal at all, so pyautogui (and this server) cannot detect a block even in principle: if an elevated window has focus, these tools report {"ok": true} while Windows silently discards the injected keystrokes/clicks -- no exception, no error field, nothing reaches the target. This is worse than the window-handle path above, which at least raises a structured window_action_failed error naming UIPI. There is no code-level bypass and no workaround short of running the server elevated (or not enabling the input group at all), which this project does not do or recommend. Operators should treat any elevated app that could plausibly have focus as silently unreachable by this server's input tools, not as a gap that lets them through. *Possible future enhancement (not implemented): detect the foreground window's integrity level before injecting and return a structured refusal instead of a false {"ok": true} -- tracked as a v2 idea, not a current capability.*
  • DPI scaling. The server sets per-monitor-v2 DPI awareness at startup so mss pixel coordinates and pyautogui point coordinates should agree on scaled displays. This bootstrap is unit-tested for idempotency/no-crash only -- actual coordinate agreement on a live multi-DPI multi-monitor setup has not been automated-tested and should be spot-checked if you're targeting a non-100%-scaled monitor.
  • UAC secure desktop. When Windows switches to the secure desktop (UAC elevation prompts, Ctrl+Alt+Del, lock screen), no process running on the regular desktop -- including this server -- can see or interact with it. Screenshots will show whatever was on the regular desktop before the switch; input calls will not reach the secure desktop at all.
  • Single machine, local only. No network transport, no remote control. stdio only, spawned by the MCP host on the same machine.
  • Input group is off by default in this repo's own registration. See ~/.claude.json's desktop-mcp entry -- DESKTOP_MCP_ENABLE_INPUT is not set there. Enabling it is a deliberate per-registration operator choice, not a code change.
  • pyautogui failsafe. FAILSAFE=True is intentional: slamming the cursor into a screen corner mid-action raises inside pyautogui and aborts the call. This can interrupt an in-flight mouse_drag. Treated as acceptable v1 behavior (see plan's Open questions) -- it's a deliberate human kill-switch, not a bug.
  • No OCR / vision analysis. Screenshots are raw PNGs; interpreting their content is the consumer's job, not this server's.
  • No clipboard tools. Credential-adjacent surface, deferred to a v2 with its own safety design.
  • Not registered with the mcp-factory hub. This ships as a standalone repo (own pyproject, own venv-free system-Python312 install), matching the rag-mcp model. Hub/registry integration is a v2 candidate.

Env vars

VarEffectDefault
DESKTOP_MCP_ENABLE_WINDOWenable the window tool groupunset (off)
DESKTOP_MCP_ENABLE_INPUTenable the input tool groupunset (off)
DESKTOP_MCP_ENABLE_RECORDenable the record tool groupunset (off)
DESKTOP_MCP_RATE_LIMIT_PER_MINinput-group rate cap60
DESKTOP_MCP_SCRATCH_DIRwhere screenshots/recordings/pidfiles are written%TEMP%\desktop-mcp-scratch
DESKTOP_MCP_LIVE1 to run real-hardware smoke tests (see Testing)unset (skip)

Usage examples

// A tool call from the MCP host, illustrative -- not a shell command.

{"tool": "screenshot", "arguments": {"monitor": 0}} // -> {"ok": true, "path": "C:\\Users\\...\\Temp\\desktop-mcp-scratch\\screenshot-....png", "w": 3840, "h": 1080, "monitor": 0}

{"tool": "record_start", "arguments": {"fps": 30, "max_duration_s": 30}} // -> {"ok": true, "path": "...\\recording-....mp4", "pid": 12345, "fps": 30, "max_duration_s": 30} {"tool": "record_st

Solo se muestra el principio; lee el resto en el repo

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