Claude KVM

Claude KVM

Remote Access, Artificial Intelligence

claude-kvm.ai

Claude KVM is an MCP tool that controls remote desktop environments over VNC. It consists of a thin JS proxy layer (MCP server) and a platform-native Swift VNC daemon running on your macOS system.

[](https://github.com/ARAS-Workspace/claude-kvm/blob/main/test/README.md) [](https://github.com/ARAS-Workspace/claude-kvm/blob/test/e2e/mac/test/README.md)

> [!TIP] > Phantom-WG could be a great alternative for you. Isolate your VNC server within your own network while enjoying self-hosted VPN performance with the extra privacy features you gain along the way.

Live Test Runs

• Integration Test
• Mac Integration Test
• Mac Calculator Test
• Mac Scientific Calculator Test
• Mac Safari Browsing Test
• Mac Drag & Drop Test
• Mac Chess Test
• Mac Chess Direct Test
• Mac Phantom-WG Install Test

> [!NOTE] > Tests are conducted transparently on GitHub Actions — each step is visible in the CI environment. At the end of every test, whether the integration passes or fails, you'll find screenshots of each step the agent took during the session, along with an .mp4 video recording that captures the entire session. By reviewing these recordings and screenshots, you can observe how the agent progressed through each stage, how long the task took, and what decisions were made based on the system prompt. You can use these examples as a reference when crafting your own system prompts or instructions for the MCP server in your own environment.

> [!WARNING] > Artifacts attached to these runs may have expired due to GitHub's artifact retention policy. Persistent copies are prepared via the Persist Artifacts workflow and can always be accessed by run ID from the artifacts/ directory on the press-kit branch.

Architecture

graph TB
    subgraph MCP["MCP Client (Claude)"]
        AI["Claude"]
    end

    subgraph Proxy["claude-kvm · MCP Proxy (stdio)"]
        direction TB
        Server["MCP Serverindex.js"]
        Tools["Tool Definitionstools/index.js"]
        Server --> Tools
    end

    subgraph Daemon["claude-kvm-daemon · Native VNC Client (stdin/stdout)"]
        direction TB
        CMD["Command HandlerPC Dispatch"]
        Scale["Display ScalingScaled ↔ Native"]

        subgraph Screen["Screen"]
            Capture["Frame CapturePNG · Crop · Diff"]
            OCR["OCR DetectionApple Vision"]
        end

        subgraph InputGroup["Input"]
            Mouse["MouseClick · Drag · Move · Scroll"]
            KB["KeyboardTap · Combo · Type · Paste"]
        end

        VNC["VNC BridgeLibVNCClient 0.9.15"]

        CMD --> Scale
        Scale --> Capture
        Scale --> Mouse
        Scale --> KB
        Capture -.->|"framebuffer"| VNC
        Mouse -->|"pointer events"| VNC
        KB -->|"key events"| VNC
    end

    subgraph Target["Target Machine"]
        VNC_Server["VNC Server:5900"]
        Desktop["Desktop Environment"]
        VNC_Server --> Desktop
    end

    AI |"stdioJSON-RPC"| Server
    Server |"stdin/stdoutPC (NDJSON)"| CMD
    VNC |"RFB ProtocolTCP :5900"| VNC_Server

    classDef proxy fill:#1a1a2e,stroke:#16213e,color:#e5e5e5
    classDef daemon fill:#0f3460,stroke:#533483,color:#e5e5e5
    classDef target fill:#1a1a2e,stroke:#e94560,color:#e5e5e5

    class Server,Tools proxy
    class CMD,Scale,VNC,Capture,Mouse,KB daemon
    class VNC_Server,Desktop target

Layers

| Layer | Language | Role | Communication | |----------------|-------------------------|----------------------------------------------------------------------|--------------------------| | MCP Proxy | JavaScript (Node.js) | Communicates with Claude over MCP protocol, manages daemon lifecycle | stdio JSON-RPC | | VNC Daemon | Swift/C (Apple Silicon) | VNC connection, screen capture, mouse/keyboard input injection | stdin/stdout PC (NDJSON) |

PC (Procedure Call) Protocol

Communication between the proxy and daemon uses the PC protocol over NDJSON:

Request:      {"method":"","params":{...},"id":}
Response:     {"result":{...},"id":}
Error:        {"error":{"code":,"message":"..."},"id":}
Notification: {"method":"","params":{...}}

Coordinate Scaling

The VNC server's native resolution is scaled down to fit within --max-dimension (default: 1280px). Claude works more consistently with scaled coordinates — the daemon handles the conversion in the background:

Native:  4220 x 2568  (VNC server framebuffer)
Scaled:  1280 x 779   (what Claude sees and targets)

mouse_click(640, 400) → VNC receives (2110, 1284)

Screen Strategy

Claude minimizes token cost with a progressive verification approach:

diff_check       →  changeDetected: true/false     ~5ms    (text only, no image)
detect_elements  →  OCR text + bounding boxes      ~50ms   (text only, no image)
cursor_crop      →  crop around cursor              ~50ms   (small image)
screenshot       →  full screen capture             ~200ms  (full image)

detect_elements uses Apple Vision framework for on-device OCR. Returns text content with bounding box coordinates in scaled space — enables precise click targeting without consuming vision tokens.

---

Installation

Requirements

• macOS (Apple Silicon / aarch64)
• Node.js (LTS)

Daemon

brew tap ARAS-Workspace/tap
brew install claude-kvm-daemon

> [!NOTE] > claude-kvm-daemon is compiled and code-signed via CI (GitHub Actions). The build output is packaged in two formats: a .tar.gz archive for Homebrew distribution and a .dmg disk image for notarization. The DMG is submitted to Apple servers for notarization within the same workflow — the process can be tracked from CI logs. The notarized DMG is available as a CI Artifact; the archived .tar.gz is also published as a release on the repository. Homebrew installation tracks this release. > > - Release · Source Code > - LibVNC Build · LibVNC Branch > - Homebrew Tap

MCP Configuration

Create a .mcp.json file in your project directory:

{
  "mcpServers": {
    "claude-kvm": {
      "command": "npx",
      "args": ["-y", "claude-kvm"],
      "env": {
        "VNC_HOST": "192.168.1.100",
        "VNC_PORT": "5900",
        "VNC_USERNAME": "user",
        "VNC_PASSWORD": "pass",
        "CLAUDE_KVM_DAEMON_PATH": "/opt/homebrew/bin/claude-kvm-daemon",
        "CLAUDE_KVM_DAEMON_PARAMETERS": "-v"
      }
    }
  }
}

> [!NOTE] > The tool is end-to-end tested via CI — Claude executes tasks over VNC while an independent vision model observes and verifies the results. See the Integration Test for live workflow runs, system prompts, and demo recordings.

Configuration

MCP Proxy (ENV)

| Parameter | Default | Description | |--------------------------------|---------------------|----------------------------------------------------| | VNC_HOST | 127.0.0.1 | VNC server address | | VNC_PORT | 5900 | VNC port number | | VNC_USERNAME | | Username (required for ARD) | | VNC_PASSWORD | | Password | | CLAUDE_KVM_DAEMON_PATH | claude-kvm-daemon | Daemon binary path (not needed if already in PATH) | | CLAUDE_KVM_DAEMON_PARAMETERS | | Additional CLI arguments for the daemon |

Daemon Parameters (CLI)

Additional arguments passed to the daemon via CLAUDE_KVM_DAEMON_PARAMETERS:

"CLAUDE_KVM_DAEMON_PARAMETERS": "--max-dimension 800 -v"

| Parameter | Default | Description | |---------------------|---------|----------------------------------------| | --max-dimension | 1280 | Maximum display scaling dimension (px) | | --connect-timeout | | VNC connection timeout (seconds) | | --bits-per-sample | | Bits per pixel sample | | --no-reconnect | | Disable automatic reconnection | | -v, --verbose | | Verbose logging (stderr) |

Runtime Configuration (PC)

All timing and display parameters are configurable at runtime via the configure method. Use get_timing to inspect current values.

Set timing:

{"method":"configure","params":{"click_hold_ms":80,"key_hold_ms":50}}

{"result":{"detail":"OK — changed: click_hold_ms, key_hold_ms"}}

Change display scaling:

{"method":"configure","params":{"max_dimension":960}}

{"result":{"detail":"OK — changed: max_dimension","scaledWidth":960,"scaledHeight":584}}

Reset to defaults:

{"method":"configure","params":{"reset":true}}

{"result":{"detail":"OK — reset to defaults","timing":{"click_hold_ms":50,"combo_mod_ms":10,"cursor_crop_radius":150,"double_click_gap_ms":50,"drag_min_steps":10,"drag_pixels_per_step":20,"drag_position_ms":30,"drag_press_ms":50,"drag_settle_ms":30,"drag_step_ms":5,"hover_settle_ms":400,"key_hold_ms":30,"max_dimension":1280,"paste_settle_ms":30,"scroll_press_ms":10,"scroll_tick_ms":20,"type_inter_key_ms":20,"type_key_ms":20,"type_shift_ms":10},"scaledWidth":1280,"scaledHeight":779}}

Get current values:

{"method":"get_timing"}

{"result":{"timing":{"click_hold_ms":80,"combo_mod_ms":10,"cursor_crop_radius":150,"double_click_gap_ms":50,"drag_min_steps":10,"drag_pixels_per_step":20,"drag_position_ms":30,"drag_press_ms":50,"drag_settle_ms":30,"drag_step_ms":5,"hover_settle_ms":400,"key_hold_ms":50,"max_dimension":1280,"paste_settle_ms":30,"scroll_press_ms":10,"scroll_tick_ms":20,"type_inter_key_ms":20,"type_key_ms":20,"type_shift_ms":10},"scaledWidth":1280,"scaledHeight":779}}

| Parameter | Default | Description | |------------------------|---------|----------------------------| | max_dimension | 1280 | Max screenshot dimension | | cursor_crop_radius | 150 | Cursor crop radius (px) | | click_hold_ms | 50 | Click hold duration | | double_click_gap_ms | 50 | Double-click gap delay | | hover_settle_ms | 400 | Hover settle wait | | drag_position_ms | 30 | Pre-drag position wait | | drag_press_ms | 50 | Drag press hold threshold | | drag_step_ms | 5 | Between interpolation pts | | drag_settle_ms | 30 | Settle before release | | drag_pixels_per_step | 20 | Point density per pixel | | drag_min_steps | 10 | Min interpolation steps | | scroll_press_ms | 10 | Scroll press-release gap | | scroll_tick_ms | 20 | Inter-tick delay | | key_hold_ms | 30 | Key hold duration | | combo_mod_ms | 10 | Modifier settle delay | | type_key_ms | 20 | Key hold during typing | | type_inter_key_ms | 20 | Inter-character delay | | type_shift_ms | 10 | Shift key settle | | paste_settle_ms | 30 | Post-clipboard write wait |

---

Tools

All operations are performed through a single vnc_command tool:

Screen

| Action | Parameters | Description | |----------------|------------|--------------------------------------------| | screenshot | | Full screen PNG capture | | cursor_crop | | Crop around cursor with crosshair overlay | | diff_check | | Detect screen changes against baseline | | set_baseline | | Save current screen as diff reference |

Mouse

| Action | Parameters | Description | |----------------------|----------------------------|--------------------------------| | mouse_click | x, y, button? | Click (left\|right\|middle) | | mouse_double_click | x, y | Double click | | mouse_move | x, y | Move cursor | | hover | x, y | Move + settle wait | | nudge | dx, dy | Relative cursor movement | | mouse_drag | x, y, toX, toY | Drag from start to end | | scroll | x, y, direction, amount? | Scroll (up\|down\|left\|right) |

Keyboard

| Action | Parameters | Description | |-------------|-------------------|--------------------------------------------------------------| | key_tap | key | Single key press (enter\|escape\|tab\|space\|...) | | key_combo | key or keys | Modifier combo ("cmd+c" or ["cmd","shift","3"]) | | key_type | text | Type text character by character | | paste | text | Paste text via clipboard |

Detection

| Action | Parameters | Description | |-------------------|------------|-------------------------------------------------------| | detect_elements | | OCR text detection with bounding boxes (Apple Vision) |

Returns text elements with bounding box coordinates in scaled space:

{"method":"detect_elements"}

{"result":{"detail":"13 elements","elements":[{"confidence":1,"h":9,"text":"Finder","w":32,"x":37,"y":6},{"confidence":1,"h":9,"text":"File","w":15,"x":84,"y":6},{"confidence":1,"h":9,"text":"Edit","w":19,"x":112,"y":6},{"confidence":1,"h":9,"text":"View","w":22,"x":143,"y":6},{"confidence":1,"h":11,"text":"Go","w":15,"x":179,"y":6},{"confidence":1,"h":9,"text":"Window","w":35,"x":207,"y":6},{"confidence":1,"h":11,"text":"Help","w":22,"x":255,"y":6},{"confidence":1,"h":11,"text":"8•","w":26,"x":1161,"y":6},{"confidence":1,"h":9,"text":"Fri Feb 20 22:19","w":80,"x":1189,"y":6},{"confidence":1,"h":9,"text":"Assets","w":32,"x":1202,"y":97},{"confidence":1,"h":9,"text":"Passwords.kdbx","w":74,"x":1181,"y":168},{"confidence":1,"h":93,"text":"PHANTOM","w":633,"x":322,"y":477},{"confidence":1,"h":32,"text":"YOUR SERVER, YOUR NETWORK, YOUR PRIVACY","w":629,"x":325,"y":568}],"scaledHeight":717,"scaledWidth":1280}}

Configuration

| Act

…

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: ARAS-Workspace
• Source: ARAS-Workspace/claude-kvm
• License: MIT
• Homepage: https://www.claude-kvm.ai

Install and usage instructions live in the source repository linked above.