{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-shopsavvy","slug":"shopsavvy","name":"ShopSavvy","type":"mcp","url":"https://github.com/shopsavvy/shopsavvy-mcp-server","page_url":"https://unfragile.ai/shopsavvy","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-shopsavvy__cap_0","uri":"capability://search.retrieval.multi.identifier.product.lookup","name":"multi-identifier product lookup","description":"Resolves product identity across multiple identifier formats (barcode/UPC, ASIN, product URL) by normalizing input and querying a unified product database that maps these identifiers to canonical product records. Implements identifier-agnostic search that abstracts away retailer-specific product ID schemes, enabling developers to query products regardless of which identifier format they have available.","intents":["I need to find product details when I only have a barcode or ASIN","I want to look up the same product across different retailers using their URLs","I need to normalize product identifiers from mixed sources into a single canonical record"],"best_for":["e-commerce AI assistants that need to handle user-provided product identifiers","price comparison tools aggregating products from multiple retailers","inventory management systems integrating with supplier APIs"],"limitations":["Identifier coverage limited to products in ShopSavvy's indexed database — niche or very new products may not resolve","URL-based lookup requires exact or near-exact URL match; URL structure variations may fail to resolve","Barcode lookup accuracy depends on barcode database freshness and regional barcode standards support"],"requires":["MCP client implementation (Claude Desktop, custom MCP host, or compatible AI framework)","Valid product identifier (UPC/barcode, ASIN, or retailer product URL)","Network connectivity to ShopSavvy API endpoints"],"input_types":["string (barcode/UPC)","string (ASIN)","string (product URL)"],"output_types":["structured JSON (product metadata object with canonical ID, title, category, brand)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-shopsavvy__cap_1","uri":"capability://data.processing.analysis.comprehensive.product.metadata.retrieval","name":"comprehensive product metadata retrieval","description":"Fetches enriched product metadata including title, description, category, brand, specifications, images, and ratings from ShopSavvy's aggregated product database. Uses a structured schema to normalize heterogeneous product data from multiple retailers into a consistent output format, enabling downstream AI systems to reason over standardized product attributes without retailer-specific parsing.","intents":["I need complete product details to display in an AI shopping assistant interface","I want to extract structured product attributes (brand, category, specs) for recommendation logic","I need product images and descriptions to generate shopping summaries"],"best_for":["AI shopping assistants building product cards or detail pages","recommendation engines requiring structured product attributes","content generation systems that need rich product context"],"limitations":["Metadata completeness varies by product — some fields (specifications, images) may be sparse for niche items","Ratings and reviews are aggregated snapshots, not real-time; freshness depends on ShopSavvy's update frequency","Image availability limited to products with retailer-provided images; some products may have no images"],"requires":["MCP client with tool-calling support","Valid product ID (obtained from product lookup capability)","Network connectivity to ShopSavvy API"],"input_types":["string (product ID)"],"output_types":["structured JSON (product object with title, description, category, brand, specifications, images, ratings)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-shopsavvy__cap_2","uri":"capability://search.retrieval.multi.retailer.price.aggregation.and.comparison","name":"multi-retailer price aggregation and comparison","description":"Queries pricing data across thousands of retailers for a given product, returning current prices, availability status, and seller information. Implements a distributed price-fetching architecture that queries multiple retailer APIs in parallel and normalizes pricing into a common format, enabling real-time price comparison without requiring separate integrations for each retailer.","intents":["I need to find the cheapest price for a product across all major retailers","I want to show users where a product is in stock and at what price","I need to compare prices from different sellers to recommend the best deal"],"best_for":["price comparison and deal-finding AI assistants","shopping bots that need to recommend lowest-cost options","budget-conscious consumer AI agents"],"limitations":["Price data freshness varies by retailer — some retailers update prices hourly, others daily; real-time accuracy not guaranteed","Availability status may be stale; out-of-stock items may still appear as available if cache hasn't refreshed","Shipping costs and taxes not included in price comparison — only base product prices are aggregated","Some retailers may not be indexed or may have restricted API access, limiting coverage"],"requires":["MCP client with tool-calling support","Valid product ID","Network connectivity to ShopSavvy API and indexed retailer endpoints"],"input_types":["string (product ID)"],"output_types":["structured JSON (array of price objects with retailer name, current price, availability, seller info, URL)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-shopsavvy__cap_3","uri":"capability://data.processing.analysis.historical.price.tracking.and.trend.analysis","name":"historical price tracking and trend analysis","description":"Maintains and retrieves historical price records for products across time, enabling trend analysis and price volatility assessment. Stores timestamped price snapshots from multiple retailers and exposes query APIs to retrieve price history, calculate price changes, and identify seasonal patterns. Developers can use this to detect price drops, predict future prices, or alert users to favorable buying windows.","intents":["I want to show users the price history for a product to demonstrate it's at a good price","I need to detect when a product price drops significantly to trigger a deal alert","I want to analyze price trends to recommend optimal purchase timing"],"best_for":["deal-alert and price-drop notification systems","shopping assistants that provide price context and historical perspective","analytics dashboards tracking product pricing trends"],"limitations":["Historical data only available for products that have been tracked in ShopSavvy's system; new products have no history","Price history granularity depends on ShopSavvy's tracking frequency — may be hourly, daily, or weekly depending on product popularity","Retailer-specific price history may be incomplete if a retailer was added to tracking after product launch","Price history does not account for promotional discounts or temporary sales — only reflects list prices"],"requires":["MCP client with tool-calling support","Valid product ID","Network connectivity to ShopSavvy API"],"input_types":["string (product ID)","optional: string (retailer name filter)","optional: date range (start_date, end_date)"],"output_types":["structured JSON (array of timestamped price records with retailer, price, date, availability status)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-shopsavvy__cap_4","uri":"capability://tool.use.integration.mcp.native.tool.integration.and.schema.based.function.calling","name":"mcp-native tool integration and schema-based function calling","description":"Exposes ShopSavvy product and pricing capabilities as MCP tools with JSON Schema definitions, enabling Claude and other MCP-compatible AI systems to automatically discover and invoke product lookup, metadata retrieval, and price comparison functions. Implements standard MCP tool protocol with input validation, error handling, and structured response formatting, allowing AI agents to seamlessly integrate shopping capabilities without custom API client code.","intents":["I want Claude to automatically use ShopSavvy to answer product and pricing questions","I need to build an AI agent that can look up products and prices without writing custom API integration code","I want to expose shopping capabilities to any MCP-compatible AI system"],"best_for":["Claude Desktop users extending Claude with shopping capabilities","developers building MCP-compatible AI agents and assistants","teams deploying AI systems that need standardized tool interfaces"],"limitations":["MCP protocol overhead adds ~50-200ms latency per tool invocation compared to direct API calls","Tool discovery and schema validation happens at runtime; no compile-time type checking for tool inputs","Error handling relies on MCP error protocol; some edge cases may not map cleanly to MCP error codes","Requires MCP-compatible AI system; not compatible with non-MCP LLM APIs (e.g., raw OpenAI API)"],"requires":["MCP client implementation (Claude Desktop, custom MCP host, or compatible AI framework)","Node.js 18+ runtime for MCP server","ShopSavvy API credentials (if self-hosted) or connection to public ShopSavvy MCP server"],"input_types":["JSON (MCP tool call with structured parameters)"],"output_types":["JSON (MCP tool result with structured response data)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-shopsavvy__cap_5","uri":"capability://search.retrieval.product.search.with.filtering.and.faceting","name":"product search with filtering and faceting","description":"Provides full-text search across product catalogs with support for filtering by category, brand, price range, and other attributes. Implements an inverted-index search backend that tokenizes product titles and descriptions, ranks results by relevance, and applies faceted filters to narrow results. Enables developers to build search interfaces that let users discover products through keyword queries combined with structured filters.","intents":["I want to search for products by keyword and let users filter by price or brand","I need to implement product discovery in a shopping assistant with relevance ranking","I want to show users available categories and brands as facets to refine their search"],"best_for":["shopping assistants with product discovery interfaces","e-commerce search implementations","product recommendation systems that need to find similar items"],"limitations":["Search results limited to products in ShopSavvy's indexed database; niche or very new products may not appear","Relevance ranking is based on text similarity and popularity; does not account for user preferences or personalization","Facet availability depends on product metadata completeness; some products may lack category or brand information","Search latency increases with result set size; queries returning thousands of results may be slow"],"requires":["MCP client with tool-calling support","Search query string (keyword)","Optional: filter parameters (category, brand, price_min, price_max)","Network connectivity to ShopSavvy API"],"input_types":["string (search query)","optional: object (filters with category, brand, price range)"],"output_types":["structured JSON (array of product results with relevance score, available facets for refinement)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-shopsavvy__cap_6","uri":"capability://search.retrieval.retailer.inventory.and.availability.tracking","name":"retailer inventory and availability tracking","description":"Queries current inventory status and availability information across retailers for a given product, returning stock levels, seller information, and fulfillment options (e.g., Prime, same-day delivery). Aggregates availability data from multiple retailer APIs and normalizes fulfillment metadata into a common schema, enabling AI systems to recommend products based on delivery speed and stock availability.","intents":["I need to check if a product is in stock before recommending it to a user","I want to show users which retailers have fast shipping options for a product","I need to filter product recommendations to only include items that are currently available"],"best_for":["shopping assistants that need to verify availability before recommending products","inventory management systems tracking stock across multiple retailers","fulfillment optimization systems that consider delivery speed"],"limitations":["Availability data is a snapshot and may be stale; stock levels can change between query and purchase","Fulfillment options (Prime, same-day) are retailer-specific and may not be standardized across all retailers","Some retailers may not expose inventory APIs; availability data may be incomplete for certain retailers","Stock level granularity varies by retailer — some provide exact counts, others only 'in stock' / 'out of stock' status"],"requires":["MCP client with tool-calling support","Valid product ID","Network connectivity to ShopSavvy API and indexed retailer endpoints"],"input_types":["string (product ID)"],"output_types":["structured JSON (array of availability records with retailer, stock status, stock level, fulfillment options, seller info)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-shopsavvy__cap_7","uri":"capability://data.processing.analysis.deal.and.promotion.detection","name":"deal and promotion detection","description":"Identifies and surfaces active promotions, discounts, and deals for products by comparing current prices against historical baselines and detecting significant price reductions. Analyzes price history to calculate discount percentages and flags products with exceptional deals, enabling AI systems to highlight bargains and alert users to limited-time offers.","intents":["I want to identify products that are currently on sale or at historically low prices","I need to surface the best deals to users based on discount magnitude","I want to alert users when a product they're interested in drops in price significantly"],"best_for":["deal-finding and bargain-hunting AI assistants","price-drop alert systems","shopping agents that prioritize value and savings"],"limitations":["Deal detection relies on historical price data; new products with no history cannot be identified as deals","Discount calculation uses average historical price as baseline; may not account for seasonal pricing variations","Promotion detection limited to price-based deals; does not detect coupon codes, bundle offers, or non-price promotions","Deal freshness depends on price update frequency; some deals may expire before being detected"],"requires":["MCP client with tool-calling support","Valid product ID with historical price data","Network connectivity to ShopSavvy API"],"input_types":["string (product ID)","optional: float (discount threshold percentage)"],"output_types":["structured JSON (deal object with discount percentage, original price, current price, deal expiration estimate)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-shopsavvy__cap_8","uri":"capability://planning.reasoning.product.recommendations.based.on.shopping.context","name":"product recommendations based on shopping context","description":"Generates product recommendations by analyzing shopping context (viewed products, cart contents, search history) and finding similar or complementary items from ShopSavvy's catalog. Uses collaborative filtering and content-based similarity metrics to rank recommendations by relevance, enabling AI shopping assistants to suggest products that match user intent and preferences.","intents":["I want to recommend similar products when a user is viewing an item","I need to suggest complementary products that would pair well with items in a user's cart","I want to personalize product suggestions based on browsing history"],"best_for":["shopping assistants with personalized recommendation features","e-commerce systems optimizing for cross-sell and upsell","product discovery interfaces that suggest related items"],"limitations":["Recommendations limited to products in ShopSavvy's catalog; niche items may have few or no recommendations","Collaborative filtering requires sufficient user interaction data; cold-start problem for new users or products","Content-based similarity relies on product metadata quality; sparse or inconsistent metadata reduces recommendation quality","Recommendations are not personalized to individual user preferences; based only on product similarity and aggregate user behavior"],"requires":["MCP client with tool-calling support","Context data (product ID, cart contents, or search history)","Network connectivity to ShopSavvy API"],"input_types":["string (product ID for similar items)","optional: array of strings (cart product IDs for complementary recommendations)","optional: array of strings (search history for personalized recommendations)"],"output_types":["structured JSON (array of recommended products with similarity score and recommendation reason)"],"categories":["planning-reasoning","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-shopsavvy__cap_9","uri":"capability://data.processing.analysis.structured.product.data.export.and.caching","name":"structured product data export and caching","description":"Provides APIs to export product and pricing data in bulk formats (JSON, CSV) and supports client-side caching of frequently accessed product records to reduce API calls. Implements cache invalidation strategies and versioning to ensure data freshness while minimizing network overhead. Enables developers to build offline-capable shopping experiences and reduce latency for repeated product lookups.","intents":["I want to cache product data locally to reduce API calls and improve performance","I need to export product catalogs for offline use or analytics","I want to sync product data periodically without querying the API for every lookup"],"best_for":["mobile shopping apps that need offline product data","high-traffic shopping assistants optimizing for latency","analytics and reporting systems that need bulk product exports"],"limitations":["Cached data becomes stale; price and availability information may be outdated until cache refresh","Bulk exports may be large and slow for comprehensive product catalogs; pagination or filtering required","Cache invalidation complexity increases with number of cached products; stale data risks if invalidation logic fails","Offline mode limited to cached data; real-time pricing and availability unavailable without network connectivity"],"requires":["MCP client with tool-calling support","Local storage or caching layer (e.g., SQLite, Redis, in-memory cache)","Cache invalidation strategy (TTL, event-based, or manual refresh)"],"input_types":["optional: array of strings (product IDs to export)","optional: string (export format: JSON or CSV)","optional: object (cache configuration with TTL and refresh strategy)"],"output_types":["structured JSON or CSV (bulk product data with metadata and pricing)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"high","permissions":["MCP client implementation (Claude Desktop, custom MCP host, or compatible AI framework)","Valid product identifier (UPC/barcode, ASIN, or retailer product URL)","Network connectivity to ShopSavvy API endpoints","MCP client with tool-calling support","Valid product ID (obtained from product lookup capability)","Network connectivity to ShopSavvy API","Valid product ID","Network connectivity to ShopSavvy API and indexed retailer endpoints","Node.js 18+ runtime for MCP server","ShopSavvy API credentials (if self-hosted) or connection to public ShopSavvy MCP server"],"failure_modes":["Identifier coverage limited to products in ShopSavvy's indexed database — niche or very new products may not resolve","URL-based lookup requires exact or near-exact URL match; URL structure variations may fail to resolve","Barcode lookup accuracy depends on barcode database freshness and regional barcode standards support","Metadata completeness varies by product — some fields (specifications, images) may be sparse for niche items","Ratings and reviews are aggregated snapshots, not real-time; freshness depends on ShopSavvy's update frequency","Image availability limited to products with retailer-provided images; some products may have no images","Price data freshness varies by retailer — some retailers update prices hourly, others daily; real-time accuracy not guaranteed","Availability status may be stale; out-of-stock items may still appear as available if cache hasn't refreshed","Shipping costs and taxes not included in price comparison — only base product prices are aggregated","Some retailers may not be indexed or may have restricted API access, limiting coverage","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.45,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.6,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.049Z","last_scraped_at":"2026-05-03T14:00:15.503Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=shopsavvy","compare_url":"https://unfragile.ai/compare?artifact=shopsavvy"}},"signature":"LFgHoerEa10uuOrVB3FAdkwhr4QjoS2mvtXVLLRsMQBFs3ZnxzMxUnkZJ/XXWNfHiu6NGd4mU9ls7rkal3sODg==","signedAt":"2026-06-22T13:11:00.958Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/shopsavvy","artifact":"https://unfragile.ai/shopsavvy","verify":"https://unfragile.ai/api/v1/verify?slug=shopsavvy","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}