spraay_search_extract

Extract clean, structured content from specific URLs — perfect for RAG pipelines. Returns the full text content of each page, ready for LLM consumption. Up to 5 URLs per request. Costs $0.015 USDC.

SERVERSpraay X402 Mcp SOURCEspraay-x402-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-plagtech-spraay-x402-mcp/spraay-search-extract.md

WHAT IT DOES

What spraay_search_extract does on Spraay X402 Mcp

AI agents call spraay_search_extract to retrieve information from Spraay X402 Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why spraay_search_extract is rated Low

This tool retrieves and extracts public web content for downstream processing (RAG pipelines). It has no capability to modify, delete, execute code, or commit financial obligations. The cost is a platform usage fee, not a financial operation executed by the tool. Classification as Read is appropriate.

From the tool's definition Tool description states it 'Extract[s] clean, structured content from specific URLs' and 'Returns the full text content of each page'. These are retrieval/query operations with no side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs spraay_search_extract safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Spraay X402 Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For spraay_search_extract, this is the rule to start with:

spraay_search_extract Allowed

spraay_search_extract 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": {
    "spraay_search_extract": {}
  }
}

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

The button opens the PolicyLayer dashboard: create your workspace, connect Spraay X402 Mcp, apply this rule, and every spraay_search_extract call is checked against it from then on.

FAQ

Questions about spraay_search_extract

What does the spraay_search_extract tool do? +

Extract clean, structured content from specific URLs — perfect for RAG pipelines. Returns the full text content of each page, ready for LLM consumption. Up to 5 URLs per request. Costs $0.015 USDC. It is categorised as a Read tool in the Spraay X402 Mcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on spraay_search_extract? +

Register the Spraay X402 MCP server in PolicyLayer and add a rule for spraay_search_extract: 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 Spraay X402 Mcp. Nothing to install.

What risk level is spraay_search_extract? +

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

Can I rate-limit spraay_search_extract? +

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

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

spraay_search_extract is provided by the Spraay X402 MCP server (spraay-x402-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Spraay X402, and thousands of servers like it.

This server

All 183 Spraay X402 tools →

Across the catalogue

search_torrents on M-Team MCP Server →aiva_search_customers on AIVA MCP Server →search_channel on YouTube MCP Server →hybrid_search on Azure AI Agent Service + Azure AI Search MCP Server → The MCP Attack Database →

Guides

Roll out MCP under one policy →Data exfiltration →MCP token cost →