Skip to main content
Glama
137,368 tools. Last updated 2026-05-21 09:34

"A tool for writing product manuals" matching MCP tools:

  • Access and browse all available Waferlock product manuals to find specific documentation for robot management and operation.
  • Add a single product to your Meta Product Catalog using a unique retailer ID. Returns the new product ID and supports rollback for reversibility.
    Apache 2.0
  • List product feeds configured for a Meta Ads Product Catalog. Audit feed health by checking latest upload status and error counts to identify causes of missing products in dynamic product ads.
    Apache 2.0
  • List products from a Meta Product Catalog to retrieve product IDs for ad creatives or audit feed health, including price, image, and availability.
    Apache 2.0

Matching MCP Servers

Matching MCP Connectors

  • Generate a trackable affiliate link for a product that logs referrals and redirects to the merchant page.
    MIT
  • Search and filter U.S. Consumer Product Safety Commission product recall data by date range and product type to identify safety hazards.
  • Display a table's schema including column names, types, constraints, and comments. Check structure before writing queries to avoid errors.
    MIT
  • Find exact product matches and compare prices across supermarkets by scanning EAN/barcodes. Use this tool to verify availability and check specific item pricing with precision.
    MIT
  • Retrieve product details by ID from Paddle, optionally including price information for comprehensive billing management.
    Apache 2.0
  • Fetch a single Custom Product Page by ID, providing the product page ID and adam ID. Returns page details for Apple Search Ads campaigns.
    MIT
  • Retrieve complete product details using a BuyWhere product ID from search results.
    MIT
  • Retrieve pricing information from Paddle by ID, with optional product details for accurate billing and financial management.
    Apache 2.0
  • Generate personalized outfit recommendations for a specific product based on customer preferences, product details, and availability, enhancing the shopping experience with tailored styling suggestions.
    MIT