Digikala MCP Server
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Alternatives to Digikala MCP Server
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Related Servers
- AlicenseAqualityAmaintenanceEnables AI agents to search Digikala's catalogue, compare every seller's offers and prices, review ~30 days of price history, read customer reviews and Q&A, and surface current deals, all through read-only tools.2326MIT
- AlicenseAqualityBmaintenanceEnables AI agents to search a catalog of roughly 960,000 fashion products across about 10,000 Iranian online and Instagram shops, comparing prices and discounts, checking per-color and per-size stock, browsing categories and curated listings, and finding similar items at other shops. It also lets agents assess shop trust signals such as ratings and buyer surveys, surface flash sales and discount codes, and read blog style guides, all read-only with no login or ordering.141MIT
- 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-
- FlicenseNot gradedqualityDmaintenanceEnables LLM-powered search with Elasticsearch, including query planning, expansion, and intelligent filtering for e-commerce.-
- FlicenseNot gradedqualityDmaintenanceEnables semantic search and natural language product recommendations using ChromaDB vector store and Azure OpenAI embeddings. Supports multi-filter search by category, brand, and price with 8 specialized MCP methods for intelligent product discovery.-
- FlicenseAqualityDmaintenanceEnables AI-powered shopping assistance by analyzing natural language shopping queries and automating product searches on multiple e-commerce platforms.13-
TDQS
Scored across 5 tools
The tools have mostly distinct purposes, with clear boundaries: get_optimized_keywords_and_categories for keyword/category optimization, get_product_details for detailed product info, get_product_recommendations for similar products, search_products for category-based searches, and search_text_lenz for semantic visual searches. However, search_products and search_text_lenz both involve searching, which could cause minor confusion, though their descriptions clarify different use cases (category-based vs. semantic/visual).
Tool names follow a consistent verb_noun pattern with underscores (e.g., get_optimized_keywords_and_categories, search_products), making them predictable and readable. There is a minor deviation with search_text_lenz, which includes a brand name 'Text-Lenz' in the noun part, but it still fits the overall naming convention without mixing styles like camelCase.
With 5 tools, this server is well-scoped for an e-commerce product search and information domain. Each tool serves a specific function (e.g., optimization, details, recommendations, searches), and none feel redundant or unnecessary, providing a balanced set for typical agent workflows in this context.
The tool set covers key operations like searching, getting details, and recommendations, but there are notable gaps. For example, there are no tools for user account management (e.g., login, cart operations), purchase-related actions (e.g., add to cart, checkout), or content management (e.g., reviews, ratings). While the domain appears focused on product discovery and information, these omissions could limit agent functionality in full e-commerce scenarios.