Agentic Shelf
**Real-time product catalog, inventory, and pricing for AI agents.** Agentic Shelf is solving AI Visibility, providing AI measurement tools and methods such as exposing live commerce data from Ecommerce stores and other platforms so AI assistants can answer "is it in stock?", "what's the price?", and "show me the details" with current, accurate data. **Tools** - `search_products` — find products by query - `list_products` — browse the catalog - `check_stock` — real-time inventory + availability for a SKU - `get_price` — current price for a SKU - `get_product_details` — full details (title, description, images, tags, inventory) Read-only. Backends: Not limited to ecommerce platforms such as Shopify, WooCommerce. More at https://www.agenticshelf.ai
https://agentic-shelf--agenticshelf.run.tools
How to connect
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Smithery (hosted)
1. Open https://smithery.ai/servers/agenticshelf/agentic-shelf 2. Click Connect and complete OAuth in your MCP client (Claude, Cursor, VS Code, etc.) 3. MCP endpoint: https://agentic-shelf--agenticshelf.run.tools
Tools (5)
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check_stockCheck real-time inventory, price, and shipping for a product SKU. This tool queries the connected e-commerce platform (Shopify, WooCommerce, etc.) for live inventory data. Returns current stock level, price, and availability status. Args: sku: Product SKU (Stock Keeping Unit) - e.g., "RED-WIDGET-001" Returns: Dictionary with: - sku: The requested SKU - stock: Current inventory count - price: Current price in USD - can_sh
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get_product_detailsGet full product details optimized for AI agents (structured JSON). Args: sku: Product SKU - e.g., "WIDGET-001" Returns: Dictionary with catalog fields; ``found`` is False when the SKU is missing.
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get_priceGet current price for a product SKU. Args: sku: Product SKU - e.g., "WIDGET-001" Returns: Dictionary with sku and current price Example: >>> await get_price("WIDGET-001") {"sku": "WIDGET-001", "price": 29.99, "currency": "USD"}
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list_productsList products from the connected store, paginated. Use this tool when an agent needs to DISCOVER products by browsing the catalog rather than VERIFYING a known SKU. The response includes the SKU for every product, so a follow-up ``check_stock(sku)`` or ``get_product_details(sku)`` is a natural next step. Args: limit: Number of products to return (1-50, default 10). cursor: Opaque cursor from a previous response's ``next_cursor``. Omit for the fir
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search_productsSearch products in the connected store by keyword. Use this when a shopper's query suggests specific terms the agent can match against product titles or tags — e.g. "HEPA air purifier" or "leather wristwatch". Matches Shopify's native storefront search behavior, so results align with what customers would find on the site. Args: query: Keyword or phrase to match. limit: Max products to return (1-50, default 10). Returns: Same shape as ``list_prod