scrapling_batch_fetch

Fetch multiple URLs in parallel with configurable concurrency. Use for competitive analysis, multi-source research, or batch data collection. Up to 20 URLs, 1-10 concurrent fetches. Each URL gets the same tier/proxy config. Returns per-URL results with success/failure status. Requires Scrapling b...

SERVERNodebench SOURCEnodebench-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-homenshum-nodebench/scrapling-batch-fetch.md

WHAT IT DOES

What scrapling_batch_fetch does on Nodebench

AI agents call scrapling_batch_fetch to retrieve information from Nodebench without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why scrapling_batch_fetch is rated Low

This tool retrieves data from external URLs without altering or deleting anything. While it uses concurrency and proxies (which could enable aggressive scraping), the core function is data retrieval.

From the tool's definition Tool description states it "Fetch[es] multiple URLs" for "competitive analysis, multi-source research, or batch data collection." Returns "per-URL results with success/failure status." No modification, deletion, or code execution capabilities mentioned.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs scrapling_batch_fetch safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For scrapling_batch_fetch, this is the rule to start with:

scrapling_batch_fetch Allowed

scrapling_batch_fetch is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "scrapling_batch_fetch": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Nodebench, apply this rule, and every scrapling_batch_fetch call is checked against it from then on.

FAQ

Questions about scrapling_batch_fetch

What does the scrapling_batch_fetch tool do? +

How do I enforce a policy on scrapling_batch_fetch? +

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

What risk level is scrapling_batch_fetch? +

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

Can I rate-limit scrapling_batch_fetch? +

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

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

scrapling_batch_fetch is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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