ScrapeGraph MCP Server
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TDQS
Scored across 8 tools
Most tools have distinct purposes with clear boundaries: agentic_scrapper for multi-step automation, markdownify for content conversion, scrape for raw HTML, searchscraper for web searches, sitemap for site discovery, smartcrawler_initiate/fetch_results for multi-page crawling, and smartscraper for structured extraction. However, smartscraper and agentic_scrapper could be confused as both involve AI extraction, though their scopes differ (single-page vs. multi-step workflows).
The naming is mixed with no consistent pattern. Some tools use snake_case (agentic_scrapper, markdownify, scrape, searchscraper, sitemap, smartscraper), while smartcrawler_initiate and smartcrawler_fetch_results use a verb_noun format but with camelCase-like compound words. There's also inconsistency in verb styles: 'scrape' vs. 'scrapper' vs. 'crawler', and 'markdownify' is a unique verb. The set is readable but lacks a unified convention.
With 8 tools, the count is well-scoped for a web scraping server. Each tool serves a specific function in the scraping workflow, from basic fetching (scrape) to complex automation (agentic_scrapper) and multi-page operations (smartcrawler). No tool feels redundant or missing given the domain, making the set appropriately sized for comprehensive scraping tasks.
The tool set provides complete coverage for web scraping workflows. It includes basic fetching (scrape, markdownify), structured extraction (smartscraper), site discovery (sitemap), multi-page crawling (smartcrawler), web searches (searchscraper), and advanced automation (agentic_scrapper). There are no obvious gaps; agents can handle everything from simple page retrieval to complex, interactive scraping scenarios with full lifecycle support.