Control remote desktops over VNC with native OCR — no cloud vision APIs needed.
Claude KVM is an MCP server that gives AI agents full control over remote desktop environments via VNC. It pairs a lightweight Node.js proxy with a native Swift daemon that handles screen capture, keyboard/mouse input, and on-device text detection using Apple Vision OCR. The daemon connects to any standard VNC server and translates MCP tool calls into RFB protocol actions — click, type, scroll, drag, screenshot, and element detection — all running locally on macOS with zero external API costs for vision tasks.
Set these up before or after installing:
Environment variable: VNC_HOST
Environment variable: VNC_PORT
Environment variable: VNC_PASSWORD
Environment variable: VNC_USERNAME
Environment variable: CLAUDE_KVM_DAEMON_PATH
Once installed, try these example prompts and explore these capabilities:
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-aras-workspace-claude-kvm": {
"env": {
"VNC_HOST": "your-vnc-host-here",
"VNC_PORT": "your-vnc-port-here",
"VNC_PASSWORD": "your-vnc-password-here",
"VNC_USERNAME": "your-vnc-username-here",
"CLAUDE_KVM_DAEMON_PATH": "your-claude-kvm-daemon-path-here"
},
"args": [
"-y",
"claude-kvm"
],
"command": "npx"
}
}
}Valid MCP server (3 strong, 3 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
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