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Discover and rank products and bundles from merchants across the open web.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.Periskop-ai/shopping-discovery" MCP server from askskill: Run: claude mcp add --transport http 'io-github-periskop-ai-shopping-discovery' 'https://mcp.periskop.ai/v1/mcp'
Search the open merchant web for office chairs suitable for remote work under a 2,000 RMB budget. Rank them by ergonomics, user reviews, and price, and recommend 3 bundle options.
A ranked shortlist of office chairs with prices, key features, and recommended bundle options.
Find gift bundles under 100 RMB for a company event. Discover products from multiple merchant sites, rank them by value for money, and suggest options suitable for bulk purchase.
A ranked gift list with evaluation criteria and bundle suggestions suitable for bulk ordering.
Search open merchant websites for smartwatches, organize results by brand, price range, and features, and identify the most common bundle offers.
Structured product discovery results including price distribution, feature categories, and common bundle offer patterns.
Access verified shop data for products, offers, price comparisons, trust, and coupons.
Search products, compare vendors, find equivalents, and request quotes for AI agents.
Discover, audit, and recommend the right skills for AI agents.
Query merchant hierarchies, locations, and industry codes for AI-driven business analysis.
Discover public AI agents, reusable recipes, and benchmark evidence by task.
Analyze competitors, review sentiment, ASINs, and Reddit growth opportunities.