Sklarstad Storefront MCP
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- FlicenseNot gradedqualityBmaintenanceEnables AI agents to search enterprise Auto-ID products and exact SKUs, read live stock and current pricing, and explore variants, accessories, consumables and support relationships through a public read-only endpoint. It also surfaces manuals, firmware, drivers and other verified technical resources from the vendor's support center.-
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to browse product catalogs, search products with filters, and initiate checkouts, generating order summaries and checkout URLs.-

Toolzy MCP Serverofficial
AlicenseNot gradedqualityBmaintenanceEnables AI assistants to search, view details, and check availability of tool rental listings from Toolzy's peer-to-peer marketplace.MIT- AlicenseNot gradedqualityBmaintenanceExposes product catalog and semantic search as tools for an LLM agent, enabling natural language product recommendations based on intent rather than keyword matching.1MIT
- AlicenseAqualityBmaintenanceEnables AI assistants to search a curated database of 200+ AI tool cards with pricing, platforms, use cases, and source links, so users can ask which tool to use for a task and get grounded recommendations.15 npm1MIT
- FlicenseNot gradedqualityCmaintenanceExposes read-only knowledge base articles on returns, warranty and shipping policies alongside tools that search, retrieve and create real support tickets. This lets an LLM agent ground its answers in store policy without inventing information, and act on actual ticket data rather than simulated records.-
TDQS
Scored across 3 tools
Each tool has a clear, non-overlapping purpose: list_products provides an overview, get_product gives full details for a single product, and get_checkout_url retrieves the purchase link for a specific tier. An agent can easily distinguish which tool to call based on the information needed.
All tool names follow a consistent verb_noun pattern (list_products, get_product, get_checkout_url). The naming is predictable and aligns with standard conventions, making it easy to infer functionality.
Three tools is well-scoped for a storefront MCP. Each tool serves a distinct, necessary function (browse, inspect, purchase) without redundancy or bloat. The count feels appropriate for the domain.
The tool surface covers the complete customer-facing lifecycle: listing products, retrieving full details, and obtaining checkout URLs. There are no obvious gaps for the stated purpose, and the inclusion of pricing tiers and availability in get_product avoids dead ends.