Co-purchase intelligence and merchant ops tools for AI shopping, ecommerce, and B2B agents
Connect Remote server
claude mcp add --transport http marketbasketanalysis-mcp https://mcp.marketbasketanalysis.com/mcp --header "Authorization: Bearer <YOUR_API_KEY>" --header "X-MBA-Base: <X_MBA_BASE>" --header "X-MBA-Platform: <X_MBA_PLATFORM>"
{
"mcpServers": {
"marketbasketanalysis-mcp": {
"url": "https://mcp.marketbasketanalysis.com/mcp",
"headers": {
"Authorization": "Bearer <YOUR_API_KEY>",
"X-MBA-Base": "<X_MBA_BASE>",
"X-MBA-Platform": "<X_MBA_PLATFORM>"
}
}
}
}
{
"servers": {
"marketbasketanalysis-mcp": {
"type": "http",
"url": "https://mcp.marketbasketanalysis.com/mcp",
"headers": {
"Authorization": "Bearer <YOUR_API_KEY>",
"X-MBA-Base": "<X_MBA_BASE>",
"X-MBA-Platform": "<X_MBA_PLATFORM>"
}
}
}
}
Settings > Connectors > Add custom connector
URL: https://mcp.marketbasketanalysis.com/mcp
Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.
Tools 6 found in our last check
get_recommendationsFor a given product, recommend the top complementary, frequently-bought-together products customers also bought, based on mined order-history association rules. This is the single-product cross-sell tool. Use this when the user asks 'what goes with X?', 'what should I bundle wit…
get_bundle_for_cartGiven a list of products already in the cart, recommend products that frequently bundle with the cart to complete a high-confidence bundle. This is multi-item basket analysis for cart completion. Use when the user describes a multi-item cart and asks 'what else do I need?', 'wha…
score_cross_sellScore the cross-sell strength (product affinity) between two specific products. Returns the confidence the merchant's real co-purchase data supports for the pair, or a clear 'no signal' result when there's no qualifying rule. Use this to validate a proposed pair before recommend…
analyze_basketRun market-basket analysis on a proposed basket / bundle to score its cohesion. Given 2+ products, returns a cohesion score 0..1 representing how strongly they bind together (their affinity) in the merchant's order data. Use this to vet a proposed bundle BEFORE recommending it,…
get_opportunitiesList the merchant's ranked bundle / cross-sell opportunities mined from order history, with support / confidence / lift / revenue-weighted score. Use this when a merchant asks 'what are my top opportunities?', 'show me the best bundles I haven't published yet', or 'what should I…
explain_opportunityExplain ONE mined opportunity: return its support, confidence, lift, and order sample count plus a short plain-language narrative of why the pair is a good cross-sell. Use this when a merchant asks 'why is this a good cross-sell?', 'explain this opportunity', or 'why should I bu…
Headers
| Name | Description |
|---|---|
AuthorizationRequired, secret | Bearer <mba_live_ API key>, minted in the merchant admin (API keys page) |
X-MBA-BaseOptional | Optional backend override; must be an MBA-operated plane (app.marketbasketanalysis.com or bigcommerce.marketbasketanalysis.com) |
X-MBA-PlatformOptional | Optional platform hint (shopify, bigcommerce, woocommerce, magento, orocommerce) |
Details
| Endpoint | https://mcp.marketbasketanalysis.com/mcp (Streamable HTTP) |
| Package | @marketbasketanalysis/[email protected] (NPM, stdio) |
| First published | 2 Sep 2026 |
| Last updated | 2 Sep 2026 |
| Registry name | io.github.48x-ai/marketbasketanalysis-mcp |
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