Low Risk

scrape_urls

Scrapes multiple webpages in parallel and returns the content in AI-readable Markdown format. Can access blocked sites through browser rendering.

Part of the Scrapi Ai server.

scrape_urls is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call scrape_urls to retrieve information from Scrapi Ai without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though scrape_urls only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

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

See the full Scrapi Ai policy for all 5 tools.

Get this rule live on your own Scrapi Ai server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access scrape_urls gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so scrape_urls only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the scrape_urls tool do? +

Scrapes multiple webpages in parallel and returns the content in AI-readable Markdown format. Can access blocked sites through browser rendering.. It is categorised as a Read tool in the Scrapi Ai MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on scrape_urls? +

Register the Scrapi Ai MCP server in PolicyLayer and add a rule for scrape_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 Scrapi Ai. Nothing to install.

What risk level is scrape_urls? +

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

Can I rate-limit scrape_urls? +

Yes. Add a rate_limit block to the scrape_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 scrape_urls completely? +

Set action: deny in the PolicyLayer policy for scrape_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 scrape_urls? +

scrape_urls is provided by the Scrapi Ai MCP server (bamchi/scrapi-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Scrapi Ai tool call.

Deterministic rules across all 5 Scrapi Ai tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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