Browser-Click · MCP GitHub Login Automation Server MCP

WHAT IT DOES

What Browser-Click does on MCP GitHub Login Automation Server

AI agents invoke Browser-Click to trigger actions in MCP GitHub Login Automation 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.

WHY IT NEEDS A POLICY

Why Browser-Click needs a policy

Browser-Click executes a browser action (clicking UI elements) which can trigger arbitrary side effects depending on what element is clicked — form submissions, button activations, navigation, authentication flows, etc. In the context of a GitHub login automation server with credential management, misuse could authenticate into accounts, approve OAuth flows, or perform account-level actions.

From the tool's definition 'Click on an element matching the selector' — triggers browser UI interactions programmatically via Playwright automation

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

Browser-Click Rate-limited

Browser-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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "Browser-Click": {
      "limits": [
        {
          "counter": "browser-click_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches MCP GitHub Login Automation Server, so you can run agents against it safely.

FAQ

Questions about Browser-Click

What does the Browser-Click tool do? +

Click on an element matching the selector. It is categorised as a Execute tool in the MCP GitHub Login Automation Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on Browser-Click? +

Register the MCP GitHub Login Automation Server MCP server in PolicyLayer and add a rule for Browser-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 GitHub Login Automation Server. Nothing to install.

What risk level is Browser-Click? +

Browser-Click is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit Browser-Click? +

Yes. Add a rate_limit block to the Browser-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.

How do I block Browser-Click completely? +

Set action: deny in the PolicyLayer policy for Browser-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.

What MCP server provides Browser-Click? +

Browser-Click is provided by the MCP GitHub Login Automation Server MCP server (nikhil-kandekar/mcp-server-demo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.