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@marketbasketanalysis/mcp
Advanced tools
MCP server for MarketBasketAnalysis. 19 tools for AI shopping, merchant ops, B2B agents: recommendations, substitutes, cart bundle completion, rationale, cross-sell scoring, basket cohesion, return risk, reorder prediction, subscription kits, weekly plan,
@marketbasketanalysis/mcpAn MCP server that gives any AI agent access to real co-purchase intelligence and merchant ops tooling from an ecommerce merchant's order history. 19 tools across discovery, bundle, insight, replenishment, merchant ops, and advanced mining. Works with Claude Desktop, Claude Code, Cursor, Windsurf, Cline, the OpenAI Agent SDK, and any other host that speaks the MCP stdio protocol. Works for merchants on Shopify, BigCommerce, WooCommerce, Magento, and OroCommerce. See "Platform coverage" below for which tools reach the self-hosted backends.
One npm package serves every marketplace. The server is platform
agnostic, it is an HTTP client that calls a store's MBA backend over
the public REST API. You re-point the whole server at any store with a
single switch (MBA_API_BASE, see below). Most tools work on all five
platforms; a handful depend on a backend route that not every platform
ships yet. Per-tool marketplace coverage is the
Tool catalog "Marketplace" column.
When a customer asks an AI shopping agent "what goes with the gym backpack?" the agent should give a real answer based on the merchant's actual order data, not a generic "you might also like" guess. When a merchant asks Claude "what should I work on this week?" the agent should pull from a ranked weekly plan, not invent tasks. This server makes both of those flows available to any MCP host in one line of config.
{
"mcpServers": {
"marketbasketanalysis": {
"command": "npx",
"args": ["-y", "@marketbasketanalysis/mcp"],
"env": { "MBA_API_KEY": "mba_live_YOUR_KEY_HERE" }
}
}
}
Paste into ~/Library/Application Support/Claude/claude_desktop_config.json
(macOS), restart Claude Desktop, the marketbasketanalysis server
appears in the tools list with all 19 tools.
The base URL is per-store configuration. By default the server talks
to the shared hosted backend at https://app.marketbasketanalysis.com.
If your data lives anywhere else, a BigCommerce store, a self-hosted
backend, or a staging instance, set MBA_API_BASE so every tool
reaches your own data plane:
{
"mcpServers": {
"marketbasketanalysis": {
"command": "npx",
"args": ["-y", "@marketbasketanalysis/mcp"],
"env": {
"MBA_API_KEY": "mba_live_YOUR_KEY_HERE",
"MBA_API_BASE": "https://your-store-backend.example.com"
}
}
}
}
MBA_API_BASE is the single switch that re-points the whole server;
all 19 tools route through it. The value must be an https:// URL for
non-local hosts (loopback, private, link-local, and metadata-service
hosts are refused). For local development against a backend on
localhost, set ALLOW_LOCAL_API_BASE=1 to allow an http://localhost
base. Env-var changes take effect at server startup, so restart your
MCP host after editing the value.
The base URL is per-store configuration. Shopify, BigCommerce, and OroCommerce stores are served by the shared hosted backend, so they use the default. WooCommerce and Magento run the backend locally inside the store install, so point the server at the store's own domain:
| Platform | MBA_API_BASE |
|---|---|
| Shopify | unset (hosted default https://app.marketbasketanalysis.com) |
| BigCommerce | unset (hosted default) |
| OroCommerce | unset (thin hosted client, same hosted backend) |
| WooCommerce | https://your-store.example.com (WordPress site URL). Its routes live under marketbasketanalysis/v1; the server maps paths automatically. See "Platform coverage" for which tools apply. |
| Magento | https://your-magento.example.com (the /rest base). Its routes live under V1/marketbasketanalysis; the server maps paths automatically. See "Platform coverage" for which tools apply. |
The server writes canonical /api/v1/... paths and rewrites them per
platform, because WooCommerce and Magento run the backend inside the
store on their own REST conventions (marketbasketanalysis/v1 and
V1/marketbasketanalysis respectively).
10 of the 19 tools reach WooCommerce and Magento: the six that derive
from /recommendations (get_recommendations, get_bundle_for_cart,
score_cross_sell, analyze_basket, propose_subscription_bundle,
score_return_risk), plus find_substitutes, get_rationale,
forecast_bundle, and predict_reorder.
The other 9 are the merchant-ops surface: get_opportunities,
triage_opportunity, get_weekly_plan, execute_weekly_plan_action,
get_drift_alerts, get_forecast_alerts, explain_opportunity,
explain_drift, and mine_hui_itemsets. Those endpoints do not exist on
the self-hosted backends. Calling one there returns a clear "not
available on this platform" error naming the endpoint, with no network
round trip, rather than an opaque 404.
For step-by-step install (config file location per OS, where to mint an API key, troubleshooting):
The server reads MBA_API_KEY from the environment your MCP host
passes in and sends it as a Bearer token on every request. To get a
key:
mba_live_ value (it is
shown once).Keys are per-shop, revocable, and rotated from the same screen. Only the SHA-256 hash is stored, so re-mint if a key leaks.
Auth model differs per marketplace, the MCP server abstracts it, but worth knowing:
Bearer mba_live_... straight through.
This is the common path.Bearer against a Woo-minted key, which must carry
the customer_data scope for predict_reorder./V1/marketbasketanalysis/* and /V1/mba/*); some routes are
admin-token / ACL scoped on the store side./api/ routes; the hosted backend the thin client proxies to is
what the MCP server actually calls, so the mba_live_ key still
applies.19 tools, organized into the four Basket AI agent roles plus two operational groups. The Marketplace column states which backends ship the route the tool calls, which is not the same as which backends this server can currently REACH: see "Platform coverage" above. "All five" means Shopify, BigCommerce, WooCommerce, Magento, OroCommerce.
| Tool | Description | Required params | Marketplace |
|---|---|---|---|
get_recommendations | Complementary products for a single product. | product_id | All five |
find_substitutes | Replacement options when a product is unavailable. | product_id | All five |
get_rationale | One-sentence "why" for a recommendation pair. | product_id, related_product_id | All five |
These derive everything from /recommendations (the server composes
the bundle/scoring logic client-side), so they need no extra backend
route and work everywhere.
| Tool | Description | Required params | Marketplace |
|---|---|---|---|
get_bundle_for_cart | Missing kit components for a multi-item cart. | product_ids | All five |
propose_subscription_bundle | Recurring subscription kit proposal. | seed_product_ids | All five |
Also /recommendations-derived, so universal.
| Tool | Description | Required params | Marketplace |
|---|---|---|---|
score_cross_sell | Strength verdict for a (a, b) pair. | product_a, product_b | All five |
score_return_risk | Bundle return-risk score. | product_ids | All five |
analyze_basket | Cohesion score for a proposed bundle. | product_ids | All five |
| Tool | Description | Required params | Marketplace |
|---|---|---|---|
predict_reorder | B2B reorder cadence per customer / SKU. | customer_id | Shopify, BigCommerce, WooCommerce, Magento. Hidden when MBA_PLATFORM=orocommerce. |
forecast_bundle | Weekly Holt-Winters forecast + buy quantity. | bundle_id | Shopify, BigCommerce, Magento (/forecast/bundle-inventory). Not on OroCommerce. |
These call Bearer /api/v1 routes that ship on BigCommerce today.
Shopify serves opportunities, drift, and the weekly plan through its
embedded admin views rather than an /api/v1 route, so these tools
resolve against a BigCommerce backend. The one exception is
/explain-opportunity, which now ships on BigCommerce and Shopify;
/explain-drift remains BigCommerce only. The tools surface a clean
upstream 404 on platforms that lack the route.
| Tool | Description | Required params | Marketplace |
|---|---|---|---|
get_weekly_plan | Ranked weekly action list. | (none) | BigCommerce |
execute_weekly_plan_action | Dispatch a specific action (confirm-gated). | action_id, confirm | BigCommerce |
get_opportunities | Mined opportunities, ranked. | (none) | BigCommerce |
explain_opportunity | Stats (support / confidence / lift / sample count) plus a templated "why this is a good cross-sell" narrative for one opportunity. | opportunity_id | BigCommerce, Shopify |
triage_opportunity | Activate / pause / archive (confirm-gated). | opportunity_id, action, confirm | BigCommerce (POST /opportunities/{id}/action); admin grid on other platforms. |
get_drift_alerts | Rules whose confidence has drifted. | (none) | BigCommerce |
explain_drift | Stats plus a templated "why this pair drifted" narrative for one drift alert (degrades gracefully for a disappeared pair). | alert_id | BigCommerce |
get_forecast_alerts | Bundles at risk of stockout / demand drop. | (none) | BigCommerce |
| Tool | Description | Required params | Marketplace |
|---|---|---|---|
mine_hui_itemsets | High-utility itemset mining (Plus / Enterprise). | orders | Shopify, BigCommerce, WooCommerce, OroCommerce. Plus / Enterprise tier. |
Paste any of these into a Claude Desktop / Claude Code / Cursor chat after wiring up the server:
get_recommendations: "Use marketbasketanalysis to find what
customers also buy with the gym backpack (product 8472918765)."find_substitutes: "The DSLR body is out of stock. What is a good
substitute?"get_rationale: "Why is the water bottle recommended with the gym
backpack?"get_bundle_for_cart: "I have a camera body, 32GB SD card, and a
tripod in my cart. What is likely missing to make this a complete
kit?"propose_subscription_bundle: "Build a monthly subscription kit
for customer 9876."score_cross_sell: "Is a cleaning kit a good cross-sell for the
DSLR camera body?"score_return_risk: *"What is the return risk of the camera + lens
analyze_basket: "I am thinking of bundling camera + lens + SD
card + bag. Based on actual customer data, is that a strong
bundle?"predict_reorder: "What is Acme Corp (customer 7654321) due to
reorder this week?"forecast_bundle: "Forecast bundle b-camera-kit for the next 12
weeks and recommend a buy quantity."get_weekly_plan: "What is on my weekly plan?"execute_weekly_plan_action: "Run action a-42 from my weekly
plan, confirmed."get_opportunities: "Show me my top three proposed
opportunities."explain_opportunity: "Why is opportunity opp-17 a good
cross-sell?"triage_opportunity: "Activate opportunity opp-17, confirmed."get_drift_alerts: "Are any of my rules drifting?"explain_drift: "Why did the pair in drift alert alert-7
drift?"get_forecast_alerts: "Which bundles are at risk of stockout?"mine_hui_itemsets: "Mine top-20 high-utility itemsets from this
90-day order payload." (Plus / Enterprise tier)Per-tool narrative docs live in the cookbook.
| Variable | Required | Default | Notes |
|---|---|---|---|
MBA_API_KEY | yes | -- | The mba_live_... key from your admin |
MBA_API_BASE | no | https://app.marketbasketanalysis.com | Per-store base URL. Set this for BigCommerce, self-hosted, or staging backends so the server points at your data plane. Must be https:// for non-local hosts. |
MBA_PLATFORM | no | (any) | Set to shopify or bigcommerce to expose platform-gated tools (e.g. predict_reorder) |
MBA_SENTRY_DSN | no | -- | Opt-in error telemetry (merchant-controlled) |
MBA_DEBUG_ERRORS | no | -- | Set to 1 to print upstream error bodies to stderr |
ALLOW_LOCAL_API_BASE | no | -- | Set to 1 to permit localhost in MBA_API_BASE during dev |
git clone https://github.com/48x-ai/marketbasketanalysis
cd marketbasketanalysis
pnpm install
pnpm --filter ./packages/mcp typecheck
pnpm --filter ./packages/mcp test
pnpm --filter ./packages/mcp dev # tsx-based local run
pnpm --filter ./packages/mcp build # emit ./dist
Each tool is a self-contained module under src/tools/. To add one:
src/tools/myNewTool.ts exporting definition and handler.
Mirror the structure of src/tools/getRecommendations.ts for a
simple GET, or src/tools/triageOpportunity.ts for a POST with a
confirm gate.src/tools/index.ts by importing and adding the
module to the allModules array.src/tools/myNewTool.test.ts, covering: missing-key
reply, happy path, and at least one upstream-error path. Mirror
src/tools/findSubstitutes.test.ts.dist/mcp/smithery.yaml.The dist/mcp/ directory at the monorepo root holds the install
samples (Claude Desktop, Cursor, Windsurf), the Smithery YAML, and
the Anthropic marketplace submission content. See
dist/mcp/README.md for the full layout.
Tag-based publish via the monorepo-root
.github/workflows/publish-mcp.yml workflow. Bump the version in
packages/mcp/package.json (keep server.json and src/index.ts in
sync), merge to main, then tag mcp-v$VERSION and push the tag. The
workflow runs typecheck, test, build, a tag/version match check, then
npm publish --access public --provenance using the NPM_TOKEN repo
secret. A workflow_dispatch manual trigger is available for rescue
runs.
The full operator checklist, including the one-time NPM_TOKEN setup
and a no-CI manual publish fallback, lives in
docs/RELEASE.md.
| Symptom | Cause / fix |
|---|---|
| Server does not appear in tool drawer | JSON typo or npx not on PATH. Check the host's MCP log. |
| "Error: MBA_API_KEY environment variable not set" | env block missing or value empty. |
| "MBA API 401" | Key revoked or wrong; mint a fresh one. |
| "MBA API unreachable" | Network reach failed; check https://status.marketbasketanalysis.com. |
| Tool times out on first call | First npx -y cold-start downloads the package; install globally for repeat speed. |
| "MBA API returned malformed response" | Upstream backend drift; set MBA_DEBUG_ERRORS=1 to see the body in stderr. |
predict_reorder missing | The tool is platform-gated: it registers when MBA_PLATFORM is unset, shopify, or bigcommerce. The reorder-prediction route also exists on WooCommerce and Magento but the tool gate does not expose it there yet. |
For deeper diagnostics see each per-IDE setup doc under
dist/mcp/.
UNLICENSED, proprietary.
FAQs
MCP server for MarketBasketAnalysis. 19 tools for AI shopping, merchant ops, B2B agents: recommendations, substitutes, cart bundle completion, rationale, cross-sell scoring, basket cohesion, return risk, reorder prediction, subscription kits, weekly plan,
We found that @marketbasketanalysis/mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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