Extract and parse HTML tables with optional CSV export
AI agents call extract_tables 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.
This tool retrieves structured data from web pages (HTML tables) and optionally exports it to CSV format. These are read-only operations with no side effects on the target system or data. The export functionality is a local transformation, not a write operation on external systems. The tool fits squarely within the Read category as it fetches and queries web content without altering or executing anything.
From the tool's definition Tool name 'extract_tables' and description 'Extract and parse HTML tables with optional CSV export' indicate data retrieval and transformation only. No modification, deletion, execution of code, or financial operations are performed.
Documented attack patterns abuse exactly the kind of access extract_tables gives an agent:
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_tables:
{
"version": "1",
"default": "deny",
"tools": {
"extract_tables": {}
}
} extract_tables is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Extract and parse HTML tables with optional CSV export. It is categorised as a Read tool in the MCP Web Scrape MCP Server, which means it retrieves data without modifying state.
Register the MCP Web Scrape MCP server in PolicyLayer and add a rule for extract_tables: 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.
extract_tables is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the extract_tables 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.
Set action: deny in the PolicyLayer policy for extract_tables. 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.
extract_tables 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.
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.
Free to start. No card required.
48 MCP Web Scrape tools catalogued and risk-classified — across an index of 43,000+ MCP servers.