snappshop-mcp
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Alternatives to snappshop-mcp
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Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables LLMs to search products, fetch detailed specifications, and browse categories from SnappShop in real-time.MIT
- AlicenseAqualityAmaintenanceEnables AI agents to search Snappfood restaurants and SnappMarket stores across Iran, compare true order costs including packaging and delivery, read menus, minimum orders, ETAs and reviews, and surface live flash deals. All operations are read-only, with no login, basket, ordering or payment access.21395 PyPI37MIT
- FlicenseCqualityBmaintenanceEnables AI clients to search, fetch and cross-compare products, prices, sellers, offers, availability and specifications between Digikala and SnappShop, with tools for finding the best price or best-value offer using explicit filters and explainable reasoning. It also supports remote Streamable HTTP deployment so the same capabilities can be registered as a custom connector in clients such as Grok.11-
- AlicenseAqualityAmaintenanceEnables AI agents to search products on Iran's marketplace of independent shops with price, category, shipping and discount filters, find the cheapest in-stock offers, and read product details, shops, categories and customer reviews. It is read-only and needs no authentication, so it can be used straight from Claude, Cursor or Copilot.798 PyPIMIT
- AlicenseAqualityAmaintenanceEnables AI agents to compare prices across Iranian online and in-person shops, inspect each seller's offer with warranty and installment details, review roughly a year of price history, score deals, and find the cheapest shop for a whole basket. It is read-only, requires no account or API key, and runs locally for Claude, Cursor or Copilot.26105 PyPI1MIT
- AlicenseAqualityAmaintenanceEnables AI agents to search and compare home appliances, TVs, electronics and tools on the Iranian shop Baneh, find the cheapest in-stock matches, browse by category or brand, and read product details and buyer reviews. Runs read-only with no authentication, with prices returned in Toman.7185 PyPIMIT
TDQS
Scored across 13 tools
Most tools have clearly distinct roles, and descriptions helpfully state sequencing (ss_categories → ss_category, ss_search → ss_product/ss_reviews). The main hazard is the near-identical pair ss_categories vs ss_category, plus several product-listing tools (ss_search, ss_category, ss_brand, ss_collection, ss_similar) that an agent must read descriptions to separate. Boundaries are clear once read, but the naming alone doesn't disambiguate.
All tools share a uniform ss_ prefix and lowercase snake_case (with multiword names like ss_similar, ss_filters), so the pattern is highly predictable. The only deviation is mixing noun-only names (ss_product, ss_brand) with verb names (ss_search, ss_suggest, ss_compare), which is minor for a read-only browsing server.
13 tools is squarely in the well-scoped range and each one covers a distinct facet of shopping discovery: navigation, search, suggestion, product detail, reviews, substitutes, sellers, filters, brands, collections, promotions, comparison. No tool feels redundant or padded.
For a read-only product-discovery server the surface is strong: browse, search, autocomplete, detail, reviews, alternatives, sellers, filters, brands, promotions and comparison are all present. Gaps are minor — no cart/order or account operations, and resolving a brand slug (needed for ss_brand) relies on site links or crawling categories rather than a dedicated lookup.