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execute_js

Execute arbitrary JS in the current page context or send JSON CDP bridge commands through the page bridge.

SERVERAgent Browser SOURCE335234131/agent-browser-mcp
High RISK CLASS
Category Execute
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/335234131-agent-browser-mcp/execute-js.md

What execute_js does on Agent Browser

AI agents invoke execute_js to trigger actions in Agent Browser. 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 execute_js is rated High

This tool permits execution of arbitrary code (JavaScript) within a live browser context that has access to login sessions, cookies, and sensitive user data as stated in the server description. An AI agent could use this to steal credentials, exfiltrate data, modify page content, perform unauthorized actions on behalf of the logged-in user, or pivot to other systems.

From the tool's definition Tool name 'execute_js' and description 'Execute arbitrary JS in the current page context' explicitly permits running arbitrary JavaScript code.

Questions about execute_js

What does the execute_js tool do? +

Execute arbitrary JS in the current page context or send JSON CDP bridge commands through the page bridge. It is categorised as a Execute tool in the Agent Browser MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_js? +

Register the Agent Browser MCP server in PolicyLayer and add a rule for execute_js: 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 Agent Browser. Nothing to install.

What risk level is execute_js? +

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

Can I rate-limit execute_js? +

Yes. Add a rate_limit block to the execute_js 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 execute_js completely? +

Set action: deny in the PolicyLayer policy for execute_js. 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 execute_js? +

execute_js is provided by the Agent Browser MCP server (335234131/agent-browser-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Agent Browser, and thousands of servers like it.

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