Starts a crawl job on a website and extracts content from all pages. Best for: Extracting content from multiple related pages, when you need comprehensive coverage. Not recommended for: Extracting content from a single page (use scrape); when token limits are a concern (use map + batch_scrape); w...
AI agents call firecrawl_crawl to retrieve information from Firecrawl MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
firecrawl_crawl retrieves and extracts web content without modifying, deleting, or executing operations on target systems. It is a read-only operation that queries publicly accessible web pages. The primary risk is token consumption and rate limiting (already mentioned as handled), not unauthorized access or data manipulation.
From the tool's definition Tool description states it 'Extracts content from all pages' and is used for 'Extracting content from multiple related pages'. The server integrates 'web content extraction, crawling, site mapping, search' capabilities.
Attacks that exploit this kind of access
Starts a crawl job on a website and extracts content from all pages. Best for: Extracting content from multiple related pages, when you need comprehensive coverage. Not recommended for: Extracting content from a single page (use scrape); when token limits are a concern (use map + batch_scrape); when you need fast results (crawling can be slow). Warning: Crawl responses can be very large and may exceed token limits. Limit the crawl depth and number of pages, or use map + batch_scrape for better control. Common mistakes: Setting limit or maxDiscoveryDepth too high (causes token overflow) or too low (causes missing pages); using crawl for a single page (use scrape instead). Using a /* wildcard is not recommended. Prompt Example:. It is categorised as a Read tool in the Firecrawl MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Firecrawl MCP Server MCP server in PolicyLayer and add a rule for firecrawl_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 Firecrawl MCP Server. Nothing to install.
firecrawl_crawl is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the firecrawl_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 firecrawl_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.
firecrawl_crawl is provided by the Firecrawl MCP Server MCP server (jayceetran1995/firecrawl-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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