AI agents call scrape to retrieve information from Scrapegraph without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name 'scrape' and the server context (ScrapeGraphAI) indicate this tool retrieves/fetches data from web pages or other sources. The description is empty, so confidence is reduced. Given sibling tools like 'extract' and 'crawl_start', this is almost certainly a Read operation. Severity is medium because scraping can access sensitive or private data and may trigger external HTTP requests.
From the tool's definition Tool name 'scrape' on a server named 'scrapegraph-mcp' alongside sibling tools like 'extract', 'crawl_start', and 'monitor_activity' strongly suggests web scraping/data retrieval functionality.
Documented attack patterns abuse exactly the kind of access scrape gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Scrapegraph, and nothing reaches the server without passing your rules. This is the rule we recommend for scrape:
{
"version": "1",
"default": "deny",
"tools": {
"scrape": {}
}
}scrape is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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scrape. It is categorised as a Read tool in the Scrapegraph MCP Server, which means it retrieves data without modifying state.
Register the Scrapegraph MCP server in PolicyLayer and add a rule for scrape: 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 Scrapegraph. Nothing to install.
scrape 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 scrape 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 scrape. 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.
scrape is provided by the Scrapegraph MCP server (ScrapeGraphAI/scrapegraph-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Scrapegraph, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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17 Scrapegraph tools catalogued and risk-classified — across an index of 43,000+ MCP servers.