$ loading_
Turn Wildberries into a searchable, analyzable product toolkit.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "wildberries-mcp" yet — see the docs or source repo.
Search Wildberries for camping thermoses and return the 5 most relevant items with key specs.
A product list, key specs, and candidates to inspect further.
Compare these 3 Wildberries products by price, reviews, and main differences, then recommend one.
A side-by-side comparison with a concise buying recommendation.
Check a Wildberries product’s price history and reviews, and judge whether it is worth buying now.
Price trend, review summary, and a purchase judgment.
Merchandisers or analysts can quickly find products and inspect details, reviews, and price changes. This tool turns Wildberries into a searchable research entry point.
When you need to compare product differences, prices, and reputation, you can pull data directly for side-by-side analysis. It is useful for competitor tracking and price monitoring.
Developers can connect it to MCP-capable LLM workflows so the model can automate search, detail lookup, and product comparison tasks.
It is an MCP server that wraps Wildberries marketplace capabilities into tools for product search, detail inspection, price history, reviews, and cross-product comparison.
It is suitable for developers, researchers, data analysts, and LLM agents that need e-commerce search and analysis.
Based on the provided information, it is an MCP tool; installation, configuration, and runtime requirements are not specified, so see the source repository.
Retrieve Wildberries reviews as structured JSON for AI analysis and insights.
Fetch Wildberries product card data with pagination, retries, and multi-cabinet support.
Connect to Wildberries Finances API for reports, commissions, and documents.
Let AI search products, review past orders, and manage carts.
Access Wallapop via MCP to search items, inspect sellers, chat, and manage offers.
Analyze e-commerce data to uncover customer, product, delivery, and sales insights.