CrawlForge MCP Server
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TDQS
Scored across 31 tools
The extraction cluster is heavily overlapping: scrape, extract_text, extract_content, extract_links, extract_metadata, scrape_structured, extract_structured, extract_with_llm and extract_embedded_state all read one URL, and several are explicitly redundant with scrape formats. The descriptions work hard to disambiguate with explicit 'Not for…' clauses and cost comparisons, so an agent can usually choose correctly, but the boundaries rely on prose rather than distinct capabilities. Similar overlap exists among search_web / deep_research / agent / serp_rank / reddit_search and between crawl_deep / map_site / batch_scrape / browser_session.
Most names are snake_case verb_noun (extract_links, fetch_url, map_site, process_document, read_result, track_changes), but there are noun-only tools (agent, browser_session, stealth_mode, localization, serp_rank, deep_research) and inverted verb-first forms (batch_scrape, crawl_deep). The pattern is readable but noticeably mixed across the set.
31 tools is well past the comfortable range for a scraping/extraction server, and much of the count comes from near-duplicate extraction variants that could be folded into scrape's format list. Several tools (list_ollama_models, localization, generate_llms_txt) are peripheral relative to the core surface.
The domain is broadly covered: single-page reads, structured extraction, batch, crawl, sitemap mapping, documents, browser sessions with actions, stealth/proxy handling, change tracking, research, and result paging. Minor gaps like credential/session management or bulk result export are workaroundable within the existing tools.