INDIVIDUAL MCP TOOL

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 cross-sell.

marketbasketanalysis.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://mcp.marketbasketanalysis.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for explain_opportunity and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

marketbasketanalysis.com

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.marketbasketanalysis]
url = "https://mcp.marketbasketanalysis.com/mcp"
enabled = true

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: marketbasketanalysis
Remote MCP URL: https://mcp.marketbasketanalysis.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "marketbasketanalysis": {
      "type": "http",
      "url": "https://mcp.marketbasketanalysis.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "marketbasketanalysis",
  "transport": "streamable-http",
  "url": "https://mcp.marketbasketanalysis.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

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).
get_rationale — Fetch the one-sentence rationale for why product B is recommended alongside product A.
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.
score_cross_sell — Score the cross-sell strength (product affinity) between two specific products.
score_return_risk — Predict return risk for a candidate bundle of 2-6 products.
analyze_basket — Run market-basket analysis on a proposed basket / bundle to score its cohesion.