wavexis_crawl
Crawl a website starting from a URL.
This record as markdown: /tools/wavexis-mcp/wavexis-crawl.md
What wavexis_crawl does on Pypi:wavexis
AI agents invoke wavexis_crawl to trigger actions in Pypi:wavexis. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why wavexis_crawl is rated High
Web crawling initiates external network operations by automatically fetching and traversing multiple web pages starting from a given URL. This is an Execute-category action because it triggers ongoing external operations (HTTP requests, page loads, possible JS execution) whose scope and effects depend on the target URL argument.
From the tool's definition "Crawl a website starting from a URL" — triggers automated browsing/navigation across potentially many pages
Attacks that exploit this kind of access
The rule that runs wavexis_crawl safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pypi:wavexis, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For wavexis_crawl, this is the rule to start with:
wavexis_crawl stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Pypi:wavexis, apply this rule, and every wavexis_crawl call is checked against it from then on.
Questions about wavexis_crawl
Crawl a website starting from a URL. It is categorised as a Execute tool in the Pypi:wavexis MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pypi:wavexis MCP server in PolicyLayer and add a rule for wavexis_crawl: 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 Pypi:wavexis. Nothing to install.
wavexis_crawl is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the wavexis_crawl 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 wavexis_crawl. 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.
wavexis_crawl is provided by the Pypi:wavexis MCP server (MathiasPaulenko/wavexis-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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