Low Risk

extract_contact_info

Extract contact information like emails, phones, addresses from web pages

How to control extract_contact_info ↓

What extract_contact_info does on MCP Web Scrape

AI agents call extract_contact_info 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_contact_info needs a policy

This tool performs data extraction and retrieval from web content without creating, modifying, deleting, or executing anything. It passively reads and parses contact information from HTML/web content. While contact information extraction raises privacy considerations, from a capability classification perspective this is a Read operation with minimal blast radius—it retrieves already-public web content.

From the tool's definition Tool name 'extract_contact_info' and description 'Extract contact information like emails, phones, addresses from web pages' indicate retrieval of publicly available data with no modification or side effects.

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

How to control extract_contact_info

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_contact_info:

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

extract_contact_info 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_contact_info

What does the extract_contact_info tool do? +

Extract contact information like emails, phones, addresses from web pages. 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_contact_info? +

Register the MCP Web Scrape MCP server in PolicyLayer and add a rule for extract_contact_info: 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_contact_info? +

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

Can I rate-limit extract_contact_info? +

Yes. Add a rate_limit block to the extract_contact_info 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_contact_info completely? +

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

extract_contact_info 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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