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Retrieve Wildberries reviews as structured JSON for AI analysis and insights.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "WildberriesToolsMCP" yet — see the docs or source repo.
Retrieve the latest 200 reviews for this Wildberries product, return them as JSON, and summarize the top 5 most common issues in negative reviews with examples.
Structured review JSON plus issue categories, frequency counts, and representative negative review examples.
Fetch review data for this product and format it as JSON, then identify the most mentioned feature needs, use cases, and improvement suggestions.
Structured review data along with themed customer needs, use-case tags, and product improvement suggestions.
Retrieve reviews for a specified Wildberries product and normalize them into LLM-ready JSON, keeping rating, date, text, and helpfulness fields.
Clean, consistently formatted review JSON ready for downstream classification, summarization, or sentiment analysis.
Fetch Wildberries product card data with pagination, retries, and multi-cabinet support.
Search, compare, and extract marketplace product and review data for research.
Scrape product prices, offers, reviews, and details across shopping sites with spend controls.
Run real-time competitor, review, website, and market intelligence with AI.
Search the web, extract content, research papers, and consult library docs.
Let AI scrape, analyze, and compare products across e-commerce storefronts.