Low Risk

fetch_urls

Retrieve web page content from multiple specified URLs

How to control fetch_urls ↓

What fetch_urls does on Fetch MCP

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

Low Risk

Why fetch_urls needs a policy

This tool retrieves and reads content from web pages without creating, modifying, executing code, or destructing data. It is a passive read operation that extracts web content and converts it to Markdown format using a headless browser.

From the tool's definition Tool name 'fetch_urls' and description 'Retrieve web page content from multiple specified URLs' indicate a data retrieval operation with no modification or execution capabilities.

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

How to control fetch_urls

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

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

fetch_urls 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 Fetch MCP — 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 fetch_urls

What does the fetch_urls tool do? +

Retrieve web page content from multiple specified URLs. It is categorised as a Read tool in the Fetch MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on fetch_urls? +

Register the Fetch MCP server in PolicyLayer and add a rule for fetch_urls: 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 Fetch MCP. Nothing to install.

What risk level is fetch_urls? +

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

Can I rate-limit fetch_urls? +

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

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

fetch_urls is provided by the Fetch MCP server (jae-jae/fetcher-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Fetch MCP tool call.

Start from Fetch MCP, 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.

3 Fetch MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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