One-call browser workflow: (optional) open URL → (optional) actions → return ONE result (snapshot/screenshot/links/console/network). Use this for almost all browser tasks to avoid many steps.
AI agents invoke browser_flow to trigger actions in Web-curl 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.
This tool drives a real browser to navigate URLs and perform arbitrary actions (clicks, form submissions, etc.), making it an Execute-category tool. The blast radius is high because an AI agent could use it to interact with authenticated sessions, exfiltrate data, submit forms, or trigger side effects on web applications.
From the tool's definition 'browser workflow', 'open URL → actions', 'browser tasks' — executes a sequence of browser actions including navigation and interactions
Documented attack patterns abuse exactly the kind of access browser_flow gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Web-curl MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for browser_flow:
{
"version": "1",
"default": "deny",
"tools": {
"browser_flow": {
"limits": [
{
"counter": "browser_flow_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} browser_flow 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.
Free to start. No card required.
One-call browser workflow: (optional) open URL → (optional) actions → return ONE result (snapshot/screenshot/links/console/network). Use this for almost all browser tasks to avoid many steps. It is categorised as a Execute tool in the Web-curl MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Web-curl MCP Server MCP server in PolicyLayer and add a rule for browser_flow: 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 Web-curl MCP Server. Nothing to install.
browser_flow 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 browser_flow 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 browser_flow. 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.
browser_flow is provided by the Web-curl MCP Server MCP server (rayss868/mcp-web-curl). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Web-curl MCP 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.
7 Web-curl MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.