Co-purchase intelligence for ecommerce merchants to recommend bundles, cross-sells, and substitutes based on order data.
Analyzes customer order history to recommend complementary products, substitutes, and subscription bundles. Helps merchants optimize pricing, inventory, and cart completion on Shopify, Magento, and WooCommerce. Includes return-risk scoring and demand forecasting.
Try asking Muse: "Show me what products customers frequently buy together with this camera so I can create a bundle."
Source: Found in the official MCP Registry (io.github.48x-ai/marketbasketanalysis-mcp) · First listed September 24, 2026
Each bar is one check, every 15 minutes. Green means it answered. Last checked 4 h ago.
What Muse can see: You sign in to your own account with it, so Muse can reach what that account allows. Read what it asks for before you agree.
Before it acts: Read what Muse plans to do before you approve it, and remove the app from Muse when you stop using it.
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Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
https://mcp.marketbasketanalysis.com/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Market Basket Analysis is a remote MCP server, so any assistant that can add a custom connector by link can use it. Same link, same tools.
In ChatGPT, open Settings, then Connectors (called Apps & Connectors on some accounts).
Under Advanced settings, switch on Developer mode. That is what lets you add a connector by link.
Choose Create, give it a name, paste the link as the MCP server URL, and save. If it needs a sign-in, ChatGPT asks for it here.
Start a chat, open the tools menu, pick the connector, and ask. ChatGPT asks before it runs a tool the first time.
Custom connectors need a paid ChatGPT plan, and on Team, Enterprise and Edu accounts only an admin can add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in ChatGPT
In Claude, open Settings, then Connectors.
Choose Add custom connector, give it a name, and paste the link.
If it needs a sign-in, Claude sends you to it. Then turn the connector on in a chat from the tools menu and ask.
Custom connectors are available on paid Claude plans; on Team and Enterprise accounts an admin may need to add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in Claude
https://mcp.marketbasketanalysis.com/mcpResponse time at the last check: 302ms. Worked in 99.5% of checks over 30 days.
Screened, no issues found
Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.
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 withget_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?', 'whatscore_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 recommendianalyze_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, sget_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 bunhttps://mcp.marketbasketanalysis.com/mcpNot in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Market Basket Analysis to help me. It is a free service with an MCP server at https://mcp.marketbasketanalysis.com/mcp. It needs an API key from 48x AI; ask me to enter it through your secure credential prompt. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
At the last check (November 13, 2026, 10:31 UTC) the endpoint was working, answering in 302ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.
It was screened on September 24, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.
It exposes 6 tools, including get_recommendations, get_bundle_for_cart, score_cross_sell, analyze_basket. For example, you could ask Muse: "Show me what products customers frequently buy together with this camera so I can create a bundle."
This listing was added from public sources (Found in the official MCP Registry (io.github.48x-ai/marketbasketanalysis-mcp)). If you build Market Basket Analysis, claim it to correct the details and get your badge.
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<a href="https://musedirectory.ai/connector/market-basket-analysis"><img src="https://musedirectory.ai/badge/market-basket-analysis.svg" alt="Market Basket Analysis on musedirectory.ai" width="236" height="40"></a>