# io.github.enzoemir1/shopops-mcp (npm · shopops-mcp-server)

AI e-commerce operations. Inventory, pricing, segmentation, and analytics.

- Trust score: 68/100 (medium)
- Change this week: +15
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- npm · `shopops-mcp-server`: 68/100 (this document), [markdown](https://verifymcp.io/servers/enzoemir1-shopops-mcp/shopops-mcp-server.md), [page](https://verifymcp.io/servers/enzoemir1-shopops-mcp/shopops-mcp-server)

## Channel facts

- Registry: `npm`
- Package: `shopops-mcp-server`
- Version: `1.2.2`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Supply Chain Security**: 87/100
  - No malware found by supply-chain analysis.
  - Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.
  - No install/post-install scripts declared.
  - Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 99 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 88/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (excellent).
  - Tool/resource definitions use about 1208 tokens (~75/item across 16 items; 12 tools + 4 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 0/100
  - Stability not yet verified: not enough scan history yet (needs a 30-day window).
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

**Unverified: 1 category.** A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

## Install

### Claude

```bash
claude mcp add enzoemir1-shopops-mcp -- npx -y shopops-mcp-server
```

### Codex

```bash
codex mcp add enzoemir1-shopops-mcp -- npx -y shopops-mcp-server
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "enzoemir1-shopops-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "shopops-mcp-server"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add enzoemir1-shopops-mcp --command npx --arg -y --arg shopops-mcp-server
```

### Hermes

```yaml
mcp_servers:
  enzoemir1-shopops-mcp:
    command: "npx"
    args: ["-y", "shopops-mcp-server"]
```

### Other

```json
{
  "mcpServers": {
    "enzoemir1-shopops-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "shopops-mcp-server"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-02 (score 68, +42)

- [security regression] Provenance: unverified → fail
- [security improvement] Known CVEs: unverified → partial
- [security improvement] Install scripts: unverified → pass
- [security improvement] Malware scan: unverified → pass
- [security] Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window).
- [functional improvement] Schema quality: unverified → excellent
- [functional improvement] License: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] Maintenance: unverified → pass
- [functional improvement] MCP protocol: unverified → pass
- [functional] Licence: MIT

### 2026-07-31 (score 26, −27)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-27 (score 53)

First indexed and scored.

## MCP tools (12)

### `store_connect` (~238 tokens)

Connect Store

Manage Shopify or WooCommerce store connections. action="connect" adds a new store and performs an initial sync of products, orders, and customers; action="sync" refreshes cached data for an existing store; action="list" returns all connected stores with their sync counts. Returns a JSON payload with store metadata (id, name, platform, url, counts, last_sync) — credentials are never returned.

Input parameters:

- `action` (string, required): connect = add new store, sync = refresh existing store, list = show all stores
- `api_key` (string): Platform API access token (required for connect)
- `api_secret` (string): Platform API secret — REQUIRED for woocommerce, ignored for shopify
- `name` (string): Human-readable store name (required for connect, e.g. "My Shop")
- `platform` (string): "shopify" or "woocommerce" (required for connect)
- `store_id` (string): Existing store UUID (required for sync)
- `url` (string): Store base URL starting with https:// (required for connect, e.g. "https://myshop.myshopify.com")

### `store_demo_seed` (~131 tokens)

Seed Demo Store

Create a realistic demo store populated with 20 products, 40 customers across 6 archetype buckets (champions, loyal, new, at-risk, hibernating, one-off), and 150+ orders spanning the last 6 months. Use this to explore ShopOps without real Shopify or WooCommerce credentials — every tool (inventory_status, customers_segment, order_anomalies, report_weekly, etc.) will return meaningful output on the returned store_id. Safe to call multiple times; each call creates a new demo store with a unique ID. Returns the store_id plus product/customer/order counts.

### `inventory_status` (~92 tokens)

Inventory Status

Snapshot of current stock levels for a connected store. Returns a summary object with total product count, out-of-stock count, low-stock count (≤10 units), plus two arrays: out_of_stock and low_stock — each containing product id, title, sku, quantity, and status. Items are sorted by urgency (lowest quantity first). Read-only and idempotent.

Input parameters:

- `store_id` (string, required): Store ID

### `inventory_forecast` (~61 tokens)

Inventory Forecast

Predict stock depletion dates using moving-average sales velocity. Returns reorder points, safety stock levels, and suggested reorder quantities for each product.

Input parameters:

- `product_id` (string): Specific product ID (omit for all products)
- `store_id` (string, required): Store ID

### `pricing_analyze` (~108 tokens)

Pricing Analysis

Analyze pricing across products with margin calculation, sales velocity, and rule-based price optimization suggestions. Returns an array where each element contains product_title, current_price, cost, margin_percent, daily_units_sold, revenue_per_day, suggested_price (or null if no change recommended), and suggestion_reason. Pass product_id to scope to a single product, omit for full catalog.

Input parameters:

- `product_id` (string): Specific product ID (omit for all)
- `store_id` (string, required): Store ID

### `pricing_optimize` (~89 tokens)

Pricing Optimization

Filtered pricing recommendations — only products where a price change is suggested. Returns a summary with total_suggestions count and an optimizations array (product, current_price, suggested_price, change_percent, reason, daily_revenue), sorted by absolute change_percent (biggest moves first). Use this instead of pricing_analyze when you only want actionable changes.

Input parameters:

- `store_id` (string, required): Store ID

### `customers_segment` (~58 tokens)

Customer Segmentation

RFM (Recency, Frequency, Monetary) customer segmentation. Categorizes customers into segments: Champions, Loyal, Potential, At Risk, New, Hibernating, Lost — with actionable recommendations.

Input parameters:

- `store_id` (string, required): Store ID

### `customers_churn` (~95 tokens)

Churn Risk

Identify customers at risk of churning based on RFM recency + frequency signals. Returns an object with at_risk, hibernating, and lost arrays — each contains customer id, name, email, last_order_date, days_since_last_order, total_spent, total_orders, and a win_back_recommendation string. Use this for targeted re-engagement campaigns.

Input parameters:

- `store_id` (string, required): Store ID

### `order_anomalies` (~100 tokens)

Order Anomaly Detection

Statistical anomaly detection on recent orders. Flags high-value orders (>3σ from mean), velocity spikes (customer ordering unusually fast), unusual quantities, off-hours purchases (2am-5am), and new-customer high-value orders. Returns an array of anomalies with order_id, anomaly_type, severity (low/medium/high), reason, and recommended_action. Useful for fraud detection and revenue spike investigation.

Input parameters:

- `store_id` (string, required): Store ID

### `product_performance` (~73 tokens)

Product Performance (ABC Analysis)

Product performance report with ABC analysis. Category A = top 80% revenue, B = next 15%, C = bottom 5%. Includes trends, margins, and daily sales velocity.

Input parameters:

- `period_days` (integer): Analysis period in days (default 30)
- `store_id` (string, required): Store ID

### `report_daily` (~59 tokens)

Daily Report

Daily operational report: orders, revenue, top products, new vs returning customers, low stock alerts, and anomaly count.

Input parameters:

- `date` (string): Date in YYYY-MM-DD format (defaults to today)
- `store_id` (string, required): Store ID

### `report_weekly` (~42 tokens)

Weekly Report

Weekly trend report: revenue/order changes vs previous week, customer segment distribution, trending products, and AI-generated insights.

Input parameters:

- `store_id` (string, required): Store ID

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/enzoemir1-shopops-mcp/shopops-mcp-server#diagnostics

## Score history

- 2026-08-03: 68
- 2026-08-02: 68
- 2026-08-01: 26
- 2026-07-31: 26
- 2026-07-30: 53
- 2026-07-28: 53
- 2026-07-27: 53

## Links

- npm package: https://www.npmjs.com/package/shopops-mcp-server
- Socket report: https://socket.dev/npm/package/shopops-mcp-server
- Repository: https://github.com/enzoemir1/shopops-mcp
- Changelog RSS feed: https://verifymcp.io/servers/enzoemir1-shopops-mcp/shopops-mcp-server/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/enzoemir1-shopops-mcp/shopops-mcp-server/changelog.json
- HTML version of this page: https://verifymcp.io/servers/enzoemir1-shopops-mcp/shopops-mcp-server