Click at specified coordinates on the local macOS screen
AI agents invoke remote_macos_mouse_click to trigger actions in MCP Remote macOS Control Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Mouse clicking triggers UI interactions on a remote macOS system, which can activate buttons, open files, confirm dialogs, and initiate arbitrary operations depending on what's on screen. This is an Execute-level action as it drives external system behavior.
From the tool's definition Click at specified coordinates on the local macOS screen
Documented attack patterns abuse exactly the kind of access remote_macos_mouse_click gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Remote macOS Control Server, and nothing reaches the server without passing your rules. This is the rule we recommend for remote_macos_mouse_click:
{
"version": "1",
"default": "deny",
"tools": {
"remote_macos_mouse_click": {
"limits": [
{
"counter": "remote_macos_mouse_click_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} remote_macos_mouse_click stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Click at specified coordinates on the local macOS screen. It is categorised as a Execute tool in the MCP Remote macOS Control Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Remote macOS Control Server MCP server in PolicyLayer and add a rule for remote_macos_mouse_click: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches MCP Remote macOS Control Server. Nothing to install.
remote_macos_mouse_click is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the remote_macos_mouse_click rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for remote_macos_mouse_click. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
remote_macos_mouse_click is provided by the MCP Remote macOS Control Server MCP server (senseisven/mcp_macos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Remote macOS Control Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
8 MCP Remote macOS Control Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.