Bright Data MCP
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302AI BrowserUse MCP Serverofficial
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TDQS
Scored across 32 tools
Most tools target distinct actions, but there is real overlap: scrape_as_html duplicates scrape_as_markdown with format='html', and scraping_browser_get_text/get_html and scrape_as_markdown's text/html formats read similar. The two AI-insight tools (chatgpt_ai_insights vs perplexity_ai_insights) and the scrape vs extract vs run_scraper trio are separable only by careful reading of descriptions.
All snake_case and mostly verb_noun with clear group prefixes (scraping_browser_*, get_scraper_*, search_*). Minor deviations: bare 'extract', noun-first names like session_stats and chatgpt_ai_insights, and the ad-hoc 'as_' pattern in scrape_as_markdown/scrape_as_html, but nothing that breaks predictability.
32 tools is heavy, driven mostly by the 14-tool scraping_browser_* automation subgroup. That subgroup is internally coherent and justified by the browser-automation capability, but combined with scraper/dataset/search/AI-insight tools the surface is larger than an agent can comfortably navigate.
Covers stateless scraping, batch, search, an extract/sampling path, full dataset and scraper lifecycle (discover, inspect, run, poll progress, fetch results, refresh), and full browser automation. Minor gaps: no explicit snapshot download/export or list/cancel of snapshots, and no dataset-schema discovery beyond filterable fields.