Skip to main content
Glama
pangolinfo

Amazon All-in-One Scrape MCP

Official
by pangolinfo
OverviewSchemaSourceRelated ServersDiscussions(1)Admin
TypeScript
Hybrid

Related Servers

Alternatives to Amazon All-in-One Scrape MCP

No user-submitted related servers found.

    Related Servers

    • Easyparser by easyparser-com

      Easyparserofficial

      easyparser-com
      A
      license
      A
      quality
      B
      maintenance
      Real-time, structured Amazon data for AI agents across 21 marketplaces: product details, seller offers, search results, 12-month sales history, Best Sellers Rank, package dimensions, and seller intelligence. 16 tools including free bulk-job monitoring and account usage tracking, available as a hosted endpoint or via npx.
      17
      30 npm
      MIT

    • logimu-shopping-mcp

      ncosic
      A
      license
      A
      quality
      A
      maintenance
      Real Amazon (US, UK, DE, CA, AU) & Walmart shopping data for AI assistants: ranked product shortlists, current prices, live stock, real ratings, and price/BSR history from a 17M+ product warehouse. Free hosted endpoint, no signup — 30 queries a day.
      3
      1
      MIT

    • AMZScout Skill + MCP

      amzscout-corp
      A
      license
      Not graded
      quality
      B
      maintenance
      AMZScout Skill + MCP gives AI agents live access to real Amazon marketplace data across 14 Amazon marketplaces. Analyze any ASIN, validate product ideas, research niches, compare competitors, discover profitable keywords, and build data-driven PPC strategies using trusted Amazon insights instead of AI assumptions. Works with Claude, ChatGPT, Cursor, and any other MCP-compatible AI client.
      1
      MIT

    • voc-amazon-reviews

      mguozhen
      A
      license
      A
      quality
      D
      maintenance
      Agent-native Amazon review intelligence — fetches verified reviews from 10 marketplaces via real Shulex OpenAPI (not scrapers) and produces copy-ready listing improvements grounded in actual customer language. Backed by a 2B-review historical dataset that Helium 10 / Jungle Scout can't replicate. Works in any MCP client (Claude Code, Claude Desktop, ChatGPT, Cursor, Windsurf, VS Code, Cline).
      6
      34
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.6/5.0

    Scored across 19 tools

    Disambiguation5/5

    Each tool targets a distinct resource/action — Amazon SERP, product detail, reviews, bestsellers, new releases, seller listings, category listings, category tree, metrics, niches, patents, local maps, Google AI search, trends, and Rufus. The detailed 'Use when' / 'Don't use' sections eliminate cross-tool ambiguity even for similar-sounding pairs like list_bestsellers vs list_new_releases or filter_categories vs filter_niches.

    Naming Consistency4/5

    The vast majority follow a consistent snake_case verb_noun pattern (search_, get_, list_, filter_), but a few deviation exist: 'keyword_trends' and 'pangolininfo_capabilities' are noun_noun, and 'wipo_search' inverts the expected verb-noun order. These are minor and easily inferable.

    Tool Count4/5

    19 tools is above the typical 3-15 range, but the server's 'All-in-One' promise spans Amazon scraping, category/niche analytics, external trend search, IP clearance, and local maps — each tool earns its place. The count feels heavy but justified by the explicit scope.

    Completeness5/5

    The surface covers the full Amazon research lifecycle: search → product detail → reviews → ranking lists → seller storefronts → category tree → commercial metrics → niche filtering → external demand signals (Google Trends, AI search) → IP-risk check → local distribution. The scrape_url escape hatch covers any missing Amazon page, eliminating dead ends.

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive

    Resources