WebScraping-AI MCP Server
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TDQS
Scored across 9 tools
Most tools have clearly distinct purposes: html/text/selected return page content, serp searches, data handles known provider pages, and account handles billing status. The AI tools (question, fields, text) and the selector tools (selected vs selected_multiple) overlap somewhat, but the descriptions explicitly cross-reference each other and clarify when to use which.
All tools share a predictable webscraping_ai_ prefix and use a consistent noun/adjective style (question, fields, html, text, selected, serp, data, account). There is no verb_noun pattern, and selected vs selected_multiple is a minor deviation, but the set is highly consistent overall.
Nine tools is well-scoped for a web scraping API client, covering retrieval, AI extraction, structured data, search, and account status without redundancy. Each tool maps to a distinct endpoint or capability.
The surface covers the core scraping lifecycle: raw HTML, rendered text, CSS selection, AI question/field extraction, SERP search, provider-specific structured data, and account status. Minor gaps exist, such as screenshot or other advanced scraping options, but agents can accomplish most scraping tasks with this set.