Model Context Protocol (MCP) server enabling AI agents to control remote desktops
Model Context Protocol (MCP) server enabling AI agents to control remote desktops. The mcp vnc mcp server wraps that behind the Model Context Protocol, so an assistant can use it rather than through you.
A Model Context Protocol (MCP) server that enables AI agents to remotely control Windows, Linux, macOS or anything else that can run a VNC server (don't worry, it's probably fine).
@hrrrsn/mcp-vnc on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
You will need 3 environment variables: VNC_HOST, VNC_PORT, VNC_PASSWORD. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by hrrrsn; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
{
"mcpServers": {
"vnc-controller": {
"type": "stdio",
"command": "mcp-vnc",
"env": {
"VNC_HOST": "192.168.1.100",
"VNC_PORT": "5900",
"VNC_PASSWORD": "your-vnc-password"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| VNC_HOST | Endpoint or connection string the server talks to. | Optional |
| VNC_PORT | Configuration value read at startup. | Optional |
| VNC_PASSWORD | Configuration value read at startup. | Optional |
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