Der Marketbasketanalysis MCP MCP-Server,
verbunden mit einem Klick.

get_recommendations — For a given product, recommend the top complementary, frequently-bought-together products customers also bought, based on mined order-histor

find_substitutes — For a given product, recommend the top substitute items that could REPLACE it (not complement it). Substitutes are the inverse of cross-sell

get_rationale — Fetch the one-sentence rationale for why product B is recommended alongside product A. Returns a short merchandiser-grade explanation ('thes

get_bundle_for_cart — Given a list of products already in the cart, recommend products that frequently bundle with the cart to complete a high-confidence bundle.

propose_subscription_bundle — Propose a recurring subscription bundle for a customer based on their first-order items. Given 1-5 seed products the customer has bought, re

score_cross_sell — Score the cross-sell strength (product affinity) between two specific products. Returns the confidence the merchant's real co-purchase data

score_return_risk — Predict return risk for a candidate bundle of 2-6 products. Returns the composite bundle return rate (max of items, since one returned item

analyze_basket — Run market-basket analysis on a proposed basket / bundle to score its cohesion. Given 2+ products, returns a cohesion score 0..1 representin