[STATELESS] Crawl multiple URLs concurrently for efficiency. Use when: processing URL lists, comparing multiple pages, or bulk data extraction. Faster than sequential crawling. Max 5 concurrent by default. Each URL gets a fresh browser. Cannot maintain state between URLs. For persistent operation...
AI agents invoke batch_crawl to trigger actions in MCP Server for Crawl4AI. 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 launches browser instances to fetch and process multiple external URLs concurrently. It triggers external network operations and browser automation whose scope and effects depend on the URLs provided.
From the tool's definition 'Crawl multiple URLs concurrently', 'Each URL gets a fresh browser', 'bulk data extraction', 'browser automation'
Risk signalsBulk/mass operation — affects multiple targets
Documented attack patterns abuse exactly the kind of access batch_crawl gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Server for Crawl4AI, and nothing reaches the server without passing your rules. This is the rule we recommend for batch_crawl:
{
"version": "1",
"default": "deny",
"tools": {
"batch_crawl": {
"limits": [
{
"counter": "batch_crawl_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} batch_crawl 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.
[STATELESS] Crawl multiple URLs concurrently for efficiency. Use when: processing URL lists, comparing multiple pages, or bulk data extraction. Faster than sequential crawling. Max 5 concurrent by default. Each URL gets a fresh browser. Cannot maintain state between URLs. For persistent operations use create_session + crawl. It is categorised as a Execute tool in the MCP Server for Crawl4AI MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Server for Crawl4AI MCP server in PolicyLayer and add a rule for batch_crawl: 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 Server for Crawl4AI. Nothing to install.
batch_crawl 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 batch_crawl 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 batch_crawl. 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.
batch_crawl is provided by the MCP Server for Crawl4AI MCP server (omgwtfwow/mcp-crawl4ai-ts). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Server for Crawl4AI, 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.
10 MCP Server for Crawl4AI tools catalogued and risk-classified — across an index of 43,000+ MCP servers.