io.github.48x-ai/marketbasketanalysis-mcp

up checked 2026-11-11T08:40:08.839Z

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Publisher-provided description

Co-purchase intelligence and merchant ops tools for AI shopping, ecommerce, and B2B agents

Summary by lookupd

Mines order history to score product bundles, recommend cross-sells and substitutes, forecast demand, and execute merchant weekly plan…

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http marketbasketanalysis https://mcp.marketbasketanalysis.com/mcp

Claude Code, npm package (stdio)

claude mcp add marketbasketanalysis -- npx -y @marketbasketanalysis/mcp

Codex, remote (streamable-http)

codex mcp add marketbasketanalysis --url https://mcp.marketbasketanalysis.com/mcp

Codex, npm package (stdio)

codex mcp add marketbasketanalysis -- npx -y @marketbasketanalysis/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "marketbasketanalysis": {
      "url": "https://mcp.marketbasketanalysis.com/mcp"
    }
  }
}

Cursor, npm package (stdio) → .cursor/mcp.json

{
  "mcpServers": {
    "marketbasketanalysis": {
      "command": "npx",
      "args": [
        "-y",
        "@marketbasketanalysis/mcp"
      ]
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (19 tools)

Publisher-provided text

• get_recommendations For a given product, recommend the top complementary, frequently-bought-together products customers also bought, based on mined order-history association rules.
• 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: this answers 'what
• get_rationale Fetch the one-sentence rationale for why product B is recommended alongside product A. Returns a short merchandiser-grade explanation ('these are commonly bough
• 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. This is multi-item b
• 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, returns a recurring su
• score_cross_sell Score the cross-sell strength (product affinity) between two specific products. Returns the confidence the merchant's real co-purchase data supports for the pai
• 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 typically returns th
• analyze_basket Run 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
• predict_reorder For a sales-rep or inventory / account-management agent: predict when a B2B customer / account is due to reorder. Returns predicted next-order dates for every S
• forecast_bundle For an inventory, purchasing, or merchant-ops agent: forecast weekly sales and recommend a buy quantity for a specific bundle over a configurable horizon. Uses
• get_weekly_plan Fetch the current weekly action plan for the merchant: a ranked list of typed actions (publish opportunity, retire stale bundle, reorder inventory, investigate
• execute_weekly_plan_action Execute a specific action from the merchant's weekly plan (publish bundle, run mining job, archive rule, etc.). Idempotent by action_id, safe to retry. Use this
• get_opportunities List the merchant's ranked bundle / cross-sell opportunities mined from order history, with support / confidence / lift / revenue-weighted score. Use this when
• explain_opportunity Explain 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 cros
• triage_opportunity Pause, activate, or archive a specific opportunity from get_opportunities. State-mutating; guarded by confirm=true. Use this after the merchant has explicitly p
• get_drift_alerts For a merchant-ops or analytics agent: list active drift alerts, the recommendation rules whose confidence has materially changed (weakened, strengthened, disap
• explain_drift Explain ONE drift alert: return its prior and current confidence (plus support, lift, and order sample count when the rule is still live) and a short plain-lang
• get_forecast_alerts For an inventory or merchant-ops agent: list forecast-based alerts, the bundles with stockout risk, demand drop, demand spike, or an unreliable forecast curve.
• mine_hui_itemsets Run high-utility itemset (HUI) mining on a caller-supplied payload of orders + per-line unit_profit. Returns top-K itemsets ranked by aggregate utility (sum of

Details

• Version: 0.7.1
• Transports: streamable-http, stdio
• Uptime (7 days): 100%
• Median latency: 216 ms
• First indexed: 2026-11-01T09:03:19.171Z
• Last seen in registry: 2026-11-01T09:03:19.345Z
• Repository: https://github.com/48x-ai/marketbasketanalysis
• Website: https://www.marketbasketanalysis.com/docs/mcp

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• Last crawl: 2026-11-11T18:39:04.612Z
• API base: https://api.lookupd.com
• MCP URL: https://api.lookupd.com/mcp