AI agents invoke export_page to trigger actions in Browserless MCP 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.
Exporting a page with resources involves driving a browser to load, render, and collect external assets from a specified URL. This is an active browser execution operation, not a simple passive read. Misuse could involve exfiltrating sensitive internal pages, hitting arbitrary URLs, or downloading malicious content.
From the tool's definition Export webpage with resources — triggers a browser automation action that fetches and packages external web content/resources, constituting an external operation whose effects depend on arguments
Documented attack patterns abuse exactly the kind of access export_page gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Browserless MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for export_page:
{
"version": "1",
"default": "deny",
"tools": {
"export_page": {
"limits": [
{
"counter": "export_page_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} export_page 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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Export webpage with resources. It is categorised as a Execute tool in the Browserless MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Browserless MCP Server MCP server in PolicyLayer and add a rule for export_page: 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 Browserless MCP Server. Nothing to install.
export_page 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 export_page 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 export_page. 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.
export_page is provided by the Browserless MCP Server MCP server (lizzard-solutions/browserless-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Browserless MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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16 Browserless MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.