Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Virtual keyboard, gamepad and mouse for AI agents on Linux / Steam Deck.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"elfdeckai": {
"command": "uvx",
"args": [
"elfdeckai"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add elfdeckai -- uvx elfdeckaiIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"elfdeckai": {
"command": "uvx",
"args": [
"elfdeckai"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"elfdeckai": {
"type": "stdio",
"command": "uvx",
"args": [
"elfdeckai"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto Garthnesss bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.1.3) kam vor 8 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, HotCodePush
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Manage over-the-air (OTA) updates for React Native, Expo, Capacitor and Cordova apps.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
Let an AI play games on your Steam Deck.
ElfDeckAI gives an AI assistant such as Claude a virtual controller, keyboard and mouse on your Steam Deck, plus the ability to see the screen. The AI looks at the game, decides what to do, and presses the buttons itself. It works in both Gaming Mode and Desktop Mode, and on other Linux machines too.
You need a Steam Deck, and a PC on the same Wi-Fi with an AI app that supports MCP, such as Claude Desktop.
1. Install on the Deck. Switch the Deck to Desktop Mode (Steam button → Power → Switch to Desktop), open Konsole, and paste:
curl -fsSL https://raw.githubusercontent.com/Garthnesss/ElfDeckAI/main/install-on-deck.sh | sh
At the end it prints the Deck's IP address. Keep it for step 3.
2. Turn on SSH on the Deck (once), so your PC can reach it. In the same Konsole window:
passwd # choose a password for the Deck, if you haven't
sudo systemctl enable --now sshd
3. Connect your PC. On the PC, paste one line. It asks for the Deck's IP address and its password (once), then sets everything up, including Claude Desktop.
irm https://raw.githubusercontent.com/Garthnesss/ElfDeckAI/main/setup-pc.ps1 | iex
curl -fsSL https://raw.githubusercontent.com/Garthnesss/ElfDeckAI/main/setup-pc.sh | sh
4. Try it. Restart Claude Desktop and ask: *"Take a screenshot of my Steam Deck."* When you see your Deck's screen, start a game and ask the AI to play.
Tips
Three small programs on the Deck create virtual input devices through the Linux kernel's /dev/uinput, so games and Steam see them as real hardware:
A fourth program, an MCP server, exposes them, together with a screenshot tool, as tools any MCP client can call. Your PC's AI app starts that server on the Deck over SSH. Nothing depends on a particular game or emulator: ElfDeckAI has played Pokémon FireRed in RetroArch on a physical Steam Deck, from the intro through the first rival battle, with the agent seeing only screenshots. See notes/driving.md for what was learned.
Everything is single-file Python using only the standard library, and the Deck install needs no sudo.
pip install elfdeckai
elfkey & elfpad & elfmouse &
echo "key x 150" > /tmp/elfkey.fifo # tap X for 150 ms echo "press a" > /tmp/elfpad.fifo # tap A echo "move 300 -100" > /tmp/elfmouse.fifo # move the pointer echo "click left" > /tmp/elfmouse.fifo # left click
grep -E "ElfKey|ElfPad|ElfMouse" /proc/bus/input/devices # confirm the devices exist
Without pip, clone the repository and run python3 elfkey.py (and so on) directly. Runtime state lives in /tmp and is cleared on reboot.
/dev/uinput is user-writable on the Steam Deck by default. On other distributions, install the udev rule first (see Installation).
elfdeckai-mcp is a Model Context Protocol server (stdio transport) that exposes 22 tools:
| Group | Tools |
|---|---|
| Keyboard | key_tap, key_down, key_up, key_release |
| Gamepad | pad_press, pad_down, pad_up, pad_stick, pad_trigger, pad_center, pad_reset |
| Mouse | mouse_click_at, mouse_move_to, mouse_move, mouse_click, mouse_down, mouse_up, mouse_scroll, mouse_hscroll, mouse_release |
| Vision | screenshot |
| Timing | wait |
screenshot captures the screen of the machine the server runs on and returns a PNG, so an agent can work in a look, act, look again loop without a separate video stream. It supports the Steam Deck in both Gaming Mode (through gamescope) and Desktop Mode (KDE Plasma), wlroots compositors and X11. Screens larger than 1280 pixels on their long side are scaled down before sending (set ELFDECKAI_SCREENSHOT_MAX to change the limit, or 0 to turn it off), and the result includes the image's size.
mouse_click_at and mouse_move_to take coordinates in the pixels of the most recent screenshot, so an agent can click exactly what it sees, whatever the screen's real resolution or the scaling applied. They assume a single display.
Running on the same machine as the daemons:
{"mcpServers": {"elfdeckai": {"command": "elfdeckai-mcp"}}}
Running on a Steam Deck from an AI client on your PC, over SSH (the setup-pc scripts in Start here write this for you):
{"mcpServers": {"elfdeckai": {
"command": "ssh", "args": ["-i", "~/.ssh/elfdeckai_ed25519", "-o", "IdentitiesOnly=yes", "-o", "BatchMode=yes", "deck@DECK-IP-ADDRESS", ".local/bin/elfdeckai-mcp"]}}}
It logs in with an SSH key, because the MCP client cannot answer a password prompt. Without pip, use "command": "python3", "args": ["/path/to/elfdeckai_mcp.py"].
Every tool call is validated against the tool's schema and the daemon's own parser before anything is written to a FIFO. If a daemon is not running, the call returns an error immediately instead of blocking.
/tmp/elfkey.fifo)| Command | Effect |
|---|---|
key [ms] | Tap a key (default 120 ms) |
down / up | Hold / release a key |
release | Release every held key |
quit | Release everything and exit |
Keys: a–z, 0–9, arrows, enter, esc, space, tab, backspace, shift, rshift, ctrl, rctrl, alt, ralt, capslock, f1–f10, home, end, pageup, pagedown, insert, delete and common punctuation. The full table is KEYS in elfkey.py.
/tmp/elfpad.fifo)| Command | Effect | |
|---|---|---|
press [ms] | Tap a button or D-pad direction (default 120 ms) | |
down / up | Hold / release | |
| `stick left\ | right [ms]` | Set an analog stick, −100 to 100 per axis; with ms, recenter afterwards |
| `trigger left\ | right <0..100> [ms]` | Set an analog trigger; with ms, release afterwards |
center | Return sticks, triggers and D-pad to neutral | |
reset | Release everything | |
quit | Release everything and exit |
Buttons: a b x y lb rb l2 r2 select start guide l3 r3, plus D-pad directions up down left right.
ElfPad identifies as an Xbox 360 controller, so SDL, Steam Input and RetroArch map it without configuration. l2 and r2 drive the analog trigger axes, as on the real controller; there are intentionally no digital trigger buttons, because declaring them shifts Select, Start and Guide off the standard button indices.
/tmp/elfmouse.fifo)| Command | Effect |
|---|---|
move [glide_ms] | Move the pointer relatively; with glide_ms, spread the move over that time |
moveto [ ] | Place the pointer at an absolute position: pixel (x, y) of a width×height frame, or device units 0–32767 across the screen when no frame is given |
click [ms] | Click left, right or middle (default 100 ms) |
down / up | Hold / release a button (for drags: down, move, up) |
scroll / hscroll | Vertical / horizontal wheel (positive is up / right) |
release | Release every held button |
quit | Release everything and exit |
move is relative: negative dy moves up. Its units are motion counts, not guaranteed screen pixels, because pointer acceleration applies. Each command is limited to ±10,000 counts and ±120 wheel ticks.
moveto uses a second virtual device, ElfMouse Absolute, which compositors treat like a virtual machine's tablet pointer, so the position is exact. Buttons are pressed on whichever device moved last.
Because the caller may be a language model, the daemons are built so that bad input cannot leave the machine in a bad state:
down/up.finally block, held inputs are tracked, and on quit, SIGTERM, SIGINT or SIGHUP every input is released before the device is removed. If the MCP client disconnects mid-hold, the server releases every held input as it exits. key_release, mouse_release and pad_reset release everything on demand.Scope: these are real OS-level input devices. They act on whichever window has focus, including terminals and browsers. ElfDeckAI keeps input bounded, validated and releasable; deciding where an agent is allowed to act is up to the operator. Only run agents you trust, in sessions you can supervise.
Manipulated callers: the hardening above covers a caller that hallucinates or sends malformed input. It does not cover a caller that is manipulated — and the agent's eyes are a screenshot, so anything on screen (a web page, a game dialog, a chat message) is untrusted input that could try to talk it into typing into a terminal. There is no key or window allowlist and no physical kill switch; the mitigations are the operator's: supervise the session, keep terminals and browsers you care about out of focus, and stop the daemons (systemctl --user stop elfkey elfpad elfmouse) when the agent is not driving. If the MCP client disconnects, the server now releases every held input on its way out — but a live, manipulated agent is an operator problem, not one this validation layer can solve.
| Approach | Limitation |
|---|---|
| Emulator APIs (PyBoy, mGBA scripting) | Only work inside a specific emulator. |
| Sending keys through Moonlight or other streaming clients | Mouse clicks are forwarded, but synthetic keyboard events are not. |
| xdotool | Cannot reach native Wayland clients. |
| ydotool, dotool | Same uinput approach for keyboard and mouse, but no gamepad, raw keycodes, and no agent-facing interface (MCP, input bounds, release commands). |
| Hardware input emulators (KVM gadgets, controller adapters) | Work, but require extra hardware. |
Requirements: 64-bit Linux with /dev/uinput and Python
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