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ElfDeckAI MCP server

io.github.Garthnesss · Updated

Virtual keyboard, gamepad and mouse for AI agents on Linux / Steam Deck.

At a glance

ElfDeckAI is an MCP server in the Dev Tools & Git category. It runs locally over stdio via `uvx elfdeckai`, and declares no required credentials. It scores B (73/100) on the MCP Skills Hub health score as of Oct 28, 2026.

Source 1GitHub stars

One-click install

Opens your editor and pre-fills the config. Your editor will ask before adding it.

How to install ElfDeckAI in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install ElfDeckAI in Claude CodeAnthropic's agentic CLI

  1. Add the server

    bash
    claude mcp add elfdeckai -- uvx elfdeckai
  2. Verify it's connected

    bash
    claude mcp list
  3. Sharing it with your team?

    Add `--scope project` to write it to .mcp.json in the repository root, which you can commit (with the secrets left as environment variables).

  4. Use it in a session

    Ask Claude to use the tools this server exposes. It discovers them automatically.

What tools does ElfDeckAI expose?

This server runs as a local package. We only query remote servers for their tool list — asking this one would mean executing it, so its tools are listed in the documentation below.

What the code can do

Source analysis currently covers npm packages only. This server ships as a Python package, which needs a different parser.

Before you install

Signals gathered from the source repo and package registry — not a safety verdict.

What it can reach

  • Runs code on your machine — Executes as a local process with your user's permissions, including filesystem access.
  • Downloads at launch — The package is fetched from its registry each run unless you pin a version.
  • Last commit today — Actively maintained.
  • Repository created 1 day ago — Very new project with little track record yet.
  • 1 GitHub stars — Very little community usage so far.

Client compatibility

Claude Code: NativeClaude Desktop: NativeCursor: NativeCodex CLI: NativeWindsurf: NativeCline: NativeVS Code: Native

Health score

B · 73

Maintenance, adoption, transparency and packaging — not a safety audit. How this is calculated

  • Maintenance30%100%

    Last commit 0 days ago.

  • Adoption20%9%

    1 stars.

  • Transparency20%75%

    3/4: ✓ public source repo, ✓ declared license, ✓ documentation, ✗ discoverable tool list.

  • Provenance15%75%

    Links to its own repository; package linkage unverified.

  • Packaging15%100%

    Publishes a pinned version (1.1.3).

Documentation

Full README

ElfDeckAI

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.

Start here: Steam Deck (about 5 minutes)

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:

sh
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:

sh
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.

  • Windows (in PowerShell):
powershell
  irm https://raw.githubusercontent.com/Garthnesss/ElfDeckAI/main/setup-pc.ps1 | iex
  • Mac or Linux (in Terminal):

Excerpt — the full document is on GitHub.

Maintain ElfDeckAI? Add a badge to your README

Shows its health grade, and links readers to install steps for every client.

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