Divar Intelligence MCP
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- AlicenseAqualityBmaintenanceEnables MCP-capable agents to search live Iranian classifieds on Divar, read full posts, and analyze market prices against current listings.82MIT
- AlicenseAqualityBmaintenanceEnables 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.261MIT
- AlicenseAqualityBmaintenanceEnables AI agents to search and read Divar classified ads across Iranian cities, covering homes, cars, phones and more, with price statistics, deal finding, fair-price appraisal, ad comparison and map browsing. It is read-only, needs no account or API key, and returns compact JSON with prices in Toman.31MIT
- 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-
- AlicenseAqualityBmaintenanceEnables AI clients to search and browse Sheypoor classifieds, fetch product details, and manage account features such as bookmarks, chats, and login.212MIT
- AlicenseAqualityAmaintenanceEnables 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.14470 PyPI2MIT
TDQS
Scored across 31 tools
Most tools have clearly distinct roles, especially the watch suite and search-pipeline tools. However, the market-analysis cluster (similar, compare, rank, assess_price, market_snapshot, market_history) could still be confused by an agent without careful reading, even though the descriptions explicitly differentiate them.
All names use a consistent dv_ snake_case prefix and are readable. The main deviation is that many names are noun phrases (dv_status, dv_boundaries, dv_market_snapshot) rather than strict verb_noun patterns, but they remain predictable.
31 tools is well above the typical 3-15 range and exceeds the 25+ threshold for 'too many'. While the domain is broad, the large surface increases selection burden and likely includes marginal additions.
The surface covers search, listing retrieval, market analytics, geospatial lookup, seller/dealer summaries, watch lifecycle, and export, which is broad and mostly complete. Minor gaps exist, such as no full pagination for dealer/seller listings and no contact or direct user-interaction tools, but these are likely domain-limited.