extract_with_llm

THE RISK

High Risk

Why extract_with_llm needs a policy

The tool actively executes an LLM inference call on retrieved web content, which is an external operation whose effects and outputs depend on the arguments (URL and question prompt). This goes beyond simple data retrieval (Read) because it triggers an AI computation process. Misuse could involve feeding arbitrary URLs and prompts to an LLM, potentially causing unintended data exposure or prompt injection.

From the tool's definition 'Ask questions about webpage content using AI' — triggers an external AI/LLM operation against fetched web content; 'extract_with_llm' invokes an LLM execution pipeline combining web retrieval and AI inference

Documented attack patterns abuse exactly the kind of access extract_with_llm gives an agent:

POLICY

How to control extract_with_llm

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 extract_with_llm:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "extract_with_llm": {
      "limits": [
        {
          "counter": "extract_with_llm_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

extract_with_llm 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.

Create a free account and register MCP Server for Crawl4AI — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More MCP Server for Crawl4AI tools

Execute batch_crawl [STATELESS] Crawl multiple URLs concurrently for efficiency. Use when: processing URL list Execute crawl_recursive [STATELESS] Deep crawl a website following internal links. Use when: mapping entire sites, Write generate_pdf [STATELESS] Convert webpage to PDF. Returns base64-encoded PDF data. Creates new browser e Read parse_sitemap [STATELESS] Extract URLs from XML sitemaps. Use when: discovering all site pages, planning Read capture_screenshot [STATELESS] Capture webpage screenshot. Returns base64-encoded PNG data. Creates new brows Read extract_links [STATELESS] Extract and categorize all page links. Use when: building sitemaps, analyzing Read get_html [STATELESS] Get sanitized/processed HTML for inspection and automation planning. Use when: Read get_markdown [STATELESS] Extract content as markdown with filtering options. Supports: raw (full conten

All 10 MCP Server for Crawl4AI tools →

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Go deeper

High-risk tools in MCP Server for Crawl4AI → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about extract_with_llm

What does the extract_with_llm tool do? +

[STATELESS] Ask questions about webpage content using AI. Returns natural language answers. 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.

How do I enforce a policy on extract_with_llm? +

Register the MCP Server for Crawl4AI MCP server in PolicyLayer and add a rule for extract_with_llm: 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.

What risk level is extract_with_llm? +

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

Can I rate-limit extract_with_llm? +

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

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

extract_with_llm 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.

Enforce policy on every MCP Server for Crawl4AI tool call.

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.

CHECK YOUR STACK →