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Access Revelor e-shop analytics, search settings, and recommendation data with optional updates.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-revelor" yet — see the docs or source repo.
After connecting to Revelor, summarize the store's key analytics for the last 30 days, including traffic, conversion rate, top products, and unusual changes, then explain the main findings in bullet points.
A 30-day e-commerce analytics summary with key metrics, highlights, and anomaly notes.
Analyze how the current Revelor search configuration affects search results, identify rules or settings that may hurt conversion, and provide optimization suggestions.
A search configuration audit highlighting problematic settings and actionable optimization recommendations.
Based on product performance from the past two weeks, adjust relevant parameters in the Revelor recommendation strategy, and first list the planned changes and expected impact before applying them.
First provide a change plan and impact summary, then apply the recommendation parameter updates and return confirmation.
Manage digital signage devices, content, playlists, and monitoring with natural language.
Analyze e-commerce data to uncover customer, product, delivery, and sales insights.
Connect AI clients to retail customer, inventory, sales, order, and support workflows.
Let AI search products, review past orders, and manage carts.
Search patterns, find yarn, and estimate quantities through natural language.
Provide AI agents with business context for e-commerce operations workflows.