Categories › Business & Finance › E-commerce & marketplaces
Cross-vendor B2B catalog for AI agents: search, compare, find equivalents, request a quote.
Remote server: your requests and data go to mcp.airshelf.ai. Claude Code: claude mcp add --transport http airshelf-catalog https://mcp.airshelf.ai/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
search_catalog — Search the AirShelf cross-vendor product catalog by natural-language query. The catalog covers industrial-automation, wiring-devices, digitafind_products — Discover candidate products for a buyer need. Takes a need in natural language (e.g. "best value home espresso machine", market "TH"), Unlesresearch_shopping — research_shopping is the full verified-research job; find_products is the quick candidate-list tool. It runs as a background job and returnsget_product — Get the full golden record (AirShelf's verified product record) and latest price for one catalog product by slug ("<manufacturer>-<model>").compare_products — Compare 2-10 catalog products side-by-side on their datasheet specs. Slugs come from search_catalog and are case-insensitive and dash-toleraexplain_product — Explain the evidence behind a catalog row. Returns stored processing stages when available and always returns a golden-record field summary list_merchants — List public AirShelf merchants that have an assigned slug and at least one active product. Every listed merchant has an account with AirShelrequest_quote — Send a quote request for catalog products to a merchant's sales team on behalf of a named buyer. This is a two-step, double opt-in flow. TheNot tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.