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Related Servers

Alternatives to rf-marketplaces-mcp

  • A
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    Russian business data with no API key: company check by INN/OGRN in FNS EGRUL/EGRIP, Bank of Russia exchange rates and key rate, late-payment interest, production calendar with business-day math, and bank details by BIK.
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Related Servers

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    Enables LLM agents to query live Wildberries marketplace data — product search with pages, sorting, price filters, per-article ratings and reviews, weekly price history, and seller legal details — with honest, sanity-checked answers and automatic anti-bot handling.
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    Enables read-only analytics and product search for a Wildberries seller account, covering items, advertising, sales, stock, reviews, finances, and tariffs through MCP clients like ChatGPT or Cursor.
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    MCP server for the Wildberries Seller API: 202 tools for prices, promotions, ads, orders, supplies, reviews, finance and analytics. Multi-store, encrypted tokens, web dashboard and self-diagnostics; Docker with SSE or stdio.
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    Wildberries Seller API MCP server providing 15 tools for managing products, prices, stocks, orders, sales, warehouses, supplies, statistics, feedbacks, and ABC analysis with built-in rate limiting and 409 penalty protection.
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TDQS

A3.9/5.0

Scored across 17 tools

Disambiguation4/5

Most tools have clearly distinct purposes: public product research vs seller-scoped analytics vs review response actions. A few pairs could be confused—wb_seller_orders vs wb_seller_sales both report seller period metrics, and wb_product vs wb_product_details both concern a single product—but descriptions clarify the boundaries.

Naming Consistency5/5

All 17 tools use the wb_ snake_case prefix with a resource/action suffix, e.g., wb_seller_orders, wb_product_details, wb_seller_answer_feedback. No camelCase or inconsistent verb styles appear.

Tool Count4/5

17 tools is slightly above the ideal 3–15 range, but each tool targets a specific Wildberries analysis or seller operation, so the set does not feel bloated. The count is reasonable for the breadth of seller and public product research covered.

Completeness4/5

The surface covers public product lookup, price history, reviews, comparison, monitoring, and seller analytics plus review/question responses. It lacks write operations for seller prices/stocks and broader discovery/search, but core analytical workflows are well covered.

Maintenance

ActivityMaintained
ResponsivenessNo issues