Installs a Chrome extension from the given path.
AI agents invoke install_extension to trigger actions in Chrome DevTools. 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.
Installing a browser extension executes an external operation that loads arbitrary code into the browser environment, granting it persistent access to browsing data, network requests, and page content. This is not a simple write (it actively runs/registers executable code) and is not easily reversible in terms of the damage a malicious extension could cause before removal.
From the tool's definition 'Installs a Chrome extension from the given path'
Documented attack patterns abuse exactly the kind of access install_extension gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Chrome DevTools, and nothing reaches the server without passing your rules. This is the rule we recommend for install_extension:
{
"version": "1",
"default": "deny",
"tools": {
"install_extension": {
"limits": [
{
"counter": "install_extension_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} install_extension 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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Installs a Chrome extension from the given path. It is categorised as a Execute tool in the Chrome DevTools MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Chrome DevTools MCP server in PolicyLayer and add a rule for install_extension: 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 Chrome DevTools. Nothing to install.
install_extension 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 install_extension 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 install_extension. 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.
install_extension is provided by the Chrome DevTools MCP server (ChromeDevTools/chrome-devtools-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Chrome DevTools, 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.
50 Chrome DevTools tools catalogued and risk-classified — across an index of 43,000+ MCP servers.