digikala-mcp
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- AlicenseNot gradedqualityBmaintenanceEnables LLMs to search products, fetch detailed specifications, and browse categories from SnappShop in real-time.MIT
- FlicenseAqualityDmaintenanceEnables intelligent product discovery on Digikala (Iran's largest e-commerce platform) with bilingual search, query optimization, price filtering in Toomans, product details, recommendations, and AI-powered semantic search for clothing and accessories.54-
- 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-
- AlicenseAqualityCmaintenanceEnables LLM agents to retrieve live, accurately labeled data from DNS (dns-shop.ru) — city-specific pricing, product search with filters, ratings, reviews, store stock, and price history — while avoiding common data misinterpretations.5MIT
- FlicenseNot gradedqualityBmaintenanceEnables AI agents to query SoloTodo's product catalog, compare specs and prices, analyze price history, detect inflated offers, and review buyer evaluations through natural language.-
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to search, compare, buy, and sell products across multiple e-commerce platforms through 13 marketplace tools.1MIT
TDQS
Scored across 23 tools
Many product-discovery tools (dk_search, dk_category_products, dk_brand_products, dk_fresh_search, dk_find_cheapest, dk_best_for_budget, dk_best_sellers, dk_deals, dk_similar) overlap in returning product lists. The descriptions do a good job explaining when to use each and cross-referencing, but an agent still faces several plausible choices for a broad product query.
All tool names use a consistent dk_ prefix and snake_case, which is predictable. However grammatical patterns vary (verb phrases like dk_find_cheapest, noun phrases like dk_price_history, adjective_noun like dk_best_sellers), so there is no strict verb_noun convention.
23 tools is heavy for the core shopping-research purpose, sitting in the 16-25 borderline range. The broad domain (search, categories, product detail, reviews, price history, sellers, deals, Fresh, gold, location) explains some breadth, but several discovery tools feel like variants that could be consolidated.
The surface covers product discovery, detail, pricing history, reviews, Q&A, seller reputation, deals, Fresh, and location well. Gaps remain around transactional operations (cart, checkout, orders) and account-level features, but for a research-focused MCP it is largely complete.