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650,497 tools. Updated 2026-10-13 19:26

"A server for finding reviews or opinions about a company or product" matching MCP tools:

  • Fetch Adidas customer reviews for a product model number, including star ratings, attribute averages, and review text, with filters by page, rating, locale, or topic.
    MIT
  • Retrieve complete structured data for any Amazon product, including title, brand, price, ratings, and reviews. Ideal for product analysis, listing enrichment, and price monitoring.
    MIT
  • Retrieve user feedback sorted newest first, with filters for rating, country, query, app, and product, to find complaints or read what users say.
    MIT

Matching MCP Servers

  • F
    license
    Not graded
    quality
    B
    maintenance
    MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.
    -
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.
    11 npm
    1
    MIT

Matching MCP Connectors

  • Oregon DMV MCP — live wait times at all 60 Oregon DMV field offices, plus the office

  • USPS state code OR.

  • Retrieve customer reviews for a Tokopedia product, including ratings, user info, and seller responses. Specify product ID and optional review count.
    MIT
  • Browse CourtListener's public court directory or fetch a single court by ID. Returns court records only, not dockets, opinions, or judges.
    MIT
  • Fetch customer reviews and rating details for a Macy's product by its numeric ID, including paginated reviews, average rating, recommendation ratio, and rating counts.
    MIT
  • Fetch paginated Microsoft Store reviews for a product, including ratings, text, and device info. Sort by MostHelpful or MostRecent to analyze customer feedback.
    MIT
  • Retrieve normalized Nike customer reviews and rating summaries by product slug and style color, with pagination for one page of results at a time.
    MIT
  • Fetch complete details for one Sephora product using its full product-page slug, covering all shade variants, prices, availability, ratings, and recent reviews.
    MIT
  • Retrieve parsed customer reviews for a Walmart product by product ID, with pagination, sorting, and filters for rating or verified purchase.
    MIT
  • Analyze one or more images from local paths or URLs and get text answers to questions about their content, text, or layout. Use it to identify product details, materials, or whether a face appears.
    Apache 2.0
  • Fetch paginated customer reviews and overall rating summaries for Old Navy, Gap, Banana Republic, or Athleta products using a color-specific product id.
    MIT
  • Fetch customer reviews for a Wish product by its 24-character product ID. Returns normalized results; specify count up to 200.
    MIT
  • Search audit findings by title, severity, or status to check for duplicates before creating a new finding or to locate a specific finding for update or evidence attachment.
    MIT