Low Risk

extract_content

Extract and clean content from a web page, returning Markdown with citation

How to control extract_content ↓

What extract_content does on MCP Web Scrape

AI agents call extract_content to retrieve information from MCP Web Scrape without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why extract_content needs a policy

The tool retrieves web content and transforms it into Markdown format. This is a read-only operation that has no side effects on the target website or any system state. The transformation to Markdown and addition of citations are data processing steps, not modifications to underlying systems. There is no execution of code on remote systems, no data deletion, and no financial impact.

From the tool's definition Tool 'extract_content' performs 'Extract and clean content from a web page, returning Markdown with citation' — this retrieves and queries web page data with no modification or side effects.

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

How to control extract_content

PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Web Scrape, and nothing reaches the server without passing your rules. This is the rule we recommend for extract_content:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "extract_content": {}
  }
}

extract_content is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register MCP Web Scrape — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about extract_content

What does the extract_content tool do? +

Extract and clean content from a web page, returning Markdown with citation. It is categorised as a Read tool in the MCP Web Scrape MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on extract_content? +

Register the MCP Web Scrape MCP server in PolicyLayer and add a rule for extract_content: 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 Web Scrape. Nothing to install.

What risk level is extract_content? +

extract_content is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit extract_content? +

Yes. Add a rate_limit block to the extract_content 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_content completely? +

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

extract_content is provided by the MCP Web Scrape MCP server (mukul975/mcp-web-scrape). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP Web Scrape tool call.

Start from MCP Web Scrape, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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48 MCP Web Scrape tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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