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Analyze products with sentiment, category mapping, attributes, and top-product summaries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "marketlens-llm-mcp" yet — see the docs or source repo.
Enrich this product dataset: extract key attributes, map categories, and run sentiment analysis on reviews. Return a structured table.
A structured output with product attributes, normalized categories, and sentiment labels.
Fetch the current top-performing products, rank them by sales or popularity, and summarize the main selling points of each.
A ranked list of top products with concise selling-point summaries.
Cluster these products by attributes and review themes, then generate a summary for each cluster describing representative traits and customer sentiment.
Cluster-based product summaries including representative attributes and sentiment trends.
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Track Amazon keyword demand trends and growth for product research.
Analyze ecommerce demand trends and growth signals for products and categories.
Search, compare, and purchase products across 27 retailers efficiently.
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