E-Commerce Intelligence MCP Server

from ChocoData-com

Shopify store analysis, product catalog extraction, pricing strategy, and inventory monitoring

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#automation #e-commerce #scraping #search #monitoring

Ecommerce Intelligence MCP — Shopify Data for AI Agents (`nexgendata/ecommerce-intelligence-mcp-server`) Actor

MCP server exposing Shopify store analysis and product-catalog extraction as agent tools. Connect Claude, Cursor, n8n or the OpenAI Agents SDK.

URL: https://apify.com/nexgendata/ecommerce-intelligence-mcp-server.md
Developed by: NexGenData (community)
Categories: AI, E-commerce, MCP servers
Stats: 5 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
User rating: No ratings yet

Pricing

from $10.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A".

How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official JavaScript/TypeScript client:

Copy & paste — that's it

npm install apify-client

In Python projects, use official Python client library:

Copy & paste — that's it

pip install apify-client

In shell scripts, use Apify CLI:

Copy & paste — that's it

# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Ecommerce Intelligence MCP

A Model Context Protocol server that gives AI agents ecommerce data — Shopify store analysis and product catalogs — as callable tools. For competitive-research, merchandising and BD agents.

### 🛠 Tools (2)
- `analyze_shopify_store` — Analyze a Shopify store's setup and catalog.
- `get_store_products` — Product catalog for a given store.

### 🔌 Connect (Claude Desktop / Cursor / n8n / OpenAI Agents SDK)
Add this MCP server to your client config:
```json
{
 "mcpServers": {
 "ecommerce-intelligence": {
 "url": "https://nexgendata--ecommerce-intelligence-mcp-server.apify.actor/mcp"
 }
 }
}

Sample agent prompt:

Copy & paste — that's it

Analyze a competitor's Shopify store and list its best-selling products.

Pricing: $0.02 per tool call (Pay-Per-Event). Runs in Standby mode.

🛒 E-commerce Intelligence MCP Server — Shopify Store Analyzer for Claude / ChatGPT

Connect AI agents to Shopify store data through the Model Context Protocol (MCP). Clean JSON tuned for LLM function-calling. Pay-per-use, no subscription.

What You Get

This MCP server exposes 2 Shopify tools to your AI agent:

analyze_shopify_store — analyze a Shopify store (store-level overview)
get_store_products — retrieve a Shopify store's product catalog

All responses are structured JSON for LLM tool use. This server covers Shopify stores only.

Use Cases

Shopify research agents — pull a store's product catalog into an analysis
Competitive research on Shopify merchants — review a Shopify store's public catalog
E-commerce chatbots — answer questions about a Shopify store's products

Quick Start

Wire this MCP server into an MCP-compatible client (Claude Desktop, Cursor, Windsurf, Cline) by pointing your config at this actor's MCP endpoint:

Copy & paste — that's it

https://nexgendata--ecommerce-intelligence-mcp-server.apify.actor/mcp

Pricing

This actor uses Apify pay-per-event pricing — charged per successful tool call, no monthly subscription.

FAQ

Q: Does it cover Amazon or other marketplaces? No. This server covers Shopify stores only.

Q: Does it do price comparison, price tracking, or price history? No. It analyzes a Shopify store and lists its products at the time of the call. There is no price-history or price-tracking feature.

Q: Does it monitor SKU/inventory levels or competitor inventory over time? No. There is no inventory-monitoring or competitor-inventory feature.

Q: Can the AI agent call this from Cursor / Cline / Claude Desktop? Yes — any MCP-compatible client works.

About NexGenData

NexGenData publishes a catalog of Apify actors and a family of MCP servers for AI agent workflows. Browse the full catalog at https://apify.com/nexgendata

🔗 Related NexGenData Actors

Web Scraping MCP Server — general web scraping for AI agents
Social Content MCP Server — social content data for AI agents

Actor input Schema

Actor input object example

Copy & paste — that's it

{}

API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

JavaScript example

Copy & paste — that's it

import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the ' ' with your token
const client = new ApifyClient({
 token: ' ',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/ecommerce-intelligence-mcp-server").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
 console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Python example

Copy & paste — that's it

from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace ' ' with your token.
client = ApifyClient(" ")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("nexgendata/ecommerce-intelligence-mcp-server").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
 print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

CLI example

Copy & paste — that's it

echo '{}' |
apify call nexgendata/ecommerce-intelligence-mcp-server --silent --output-dataset

OpenAPI specification

Copy & paste — that's it

{
 "openapi": "3.0.1",
 "info": {
 "title": "Ecommerce Intelligence MCP — Shopify Data for AI Agents",
 "description": "MCP server exposing Shopify store analysis and product-catalog extraction as agent tools. Connect Claude, Cursor, n8n or the OpenAI Agents SDK.",
 "version": "0.0",
 "x-build-id": "t6nkOLFH1Taub1Z2E"
 },
 "servers": [
 {
 "url": "https://api.apify.com/v2"
 }
 ],
 "paths": {
 "/acts/nexgendata~ecommerce-intelligence-mcp-server/run-sync-get-dataset-items": {
 "post": {
 "operationId": "run-sync-get-dataset-items-nexgendata-ecommerce-intelligence-mcp-server",
 "x-openai-isConsequential": false,
 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
 "tags": [
 "Run Actor"
 ],
 "requestBody": {
 "required": true,
 "content": {
 "application/json": {
 "schema": {
 "$ref": "#/components/schemas/inputSchema"
 }
 }
 }
 },
 "parameters": [
 {
 "name": "token",
 "in": "query",
 "required": true,
 "schema": {
 "type": "string"
 },
 "description": "Enter your Apify token here"
 }
 ],
 "responses": {
 "200": {
 "description": "OK"
 }
 }
 }
 },
 "/acts/nexgendata~ecommerce-intelligence-mcp-server/runs": {
 "post": {
 "operationId": "runs-sync-nexgendata-ecommerce-intelligence-mcp-server",
 "x-openai-isConsequential": false,
 "summary": "Executes an Actor and returns information about the initiated run in response.",
 "tags": [
 "Run Actor"
 ],
 "requestBody": {
 "required": true,
 "content": {
 "application/json": {
 "schema": {
 "$ref": "#/components/schemas/inputSchema"
 }
 }
 }
 },
 "parameters": [
 {
 "name": "token",
 "in": "query",
 "required": true,
 "schema": {
 "type": "string"
 },
 "description": "Enter your Apify token here"
 }
 ],
 "responses": {
 "200": {
 "description": "OK",
 "content": {
 "application/json": {
 "schema": {
 "$ref": "#/components/schemas/runsResponseSchema"
 }
 }
 }
 }
 }
 }
 },
 "/acts/nexgendata~ecommerce-intelligence-mcp-server/run-sync": {
 "post": {
 "operationId": "run-sync-nexgendata-ecommerce-intelligence-mcp-server",
 "x-openai-isConsequential": false,
 "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
 "tags": [
 "Run Actor"
 ],
 "requestBody": {
 "required": true,
 "content": {
 "application/json": {
 "schema": {
 "$ref": "#/components/schemas/inputSchema"
 }
 }
 }
 },
 "parameters": [
 {
 "name": "token",
 "in": "query",
 "required": true,
 "schema": {
 "type": "string"
 },
 "description": "Enter your Apify token here"
 }
 ],
 "responses": {
 "200": {
 "description": "OK"
 }
 }
 }
 }
 },
 "components": {
 "schemas": {
 "inputSchema": {
 "type": "object",
 "properties": {}
 },
 "runsResponseSchema": {
 "type": "object",
 "properties": {
 "data": {
 "type": "object",
 "properties": {
 "id": {
 "type": "string"
 },
 "actId": {
 "type": "string"
 },
 "userId": {
 "type": "string"
 },
 "startedAt": {
 "type": "string",
 "format": "date-time",
 "example": "2025-01-08T00:00:00.000Z"
 },
 "finishedAt": {
 "type": "string",
 "format": "date-time",
 "example": "2025-01-08T00:00:00.000Z"
 },
 "status": {
 "type": "string",
 "example": "READY"
 },
 "meta": {
 "type": "object",
 "properties": {
 "origin": {
 "type": "string",
 "example": "API"
 },
 "userAgent": {
 "type": "string"
 }
 }
 },
 "stats": {
 "type": "object",
 "properties": {
 "inputBodyLen": {
 "type": "integer",
 "example": 2000
 },
 "rebootCount": {
 "type": "integer",
 "example": 0
 },
 "restartCount": {
 "type": "integer",
 "example": 0
 },
 "resurrectCount": {
 "type": "integer",
 "example": 0
 },
 "computeUnits": {
 "type": "integer",
 "example": 0
 }
 }
 },
 "options": {
 "type": "object",
 "properties": {
 "build": {
 "type": "string",
 "example": "latest"
 },
 "timeoutSecs": {
 "type": "integer",
 "example": 300
 },
 "memoryMbytes": {
 "type": "integer",
 "example": 1024
 },
 "diskMbytes": {
 "type": "integer",
 "example": 2048
 }
 }
 },
 "buildId": {
 "type": "string"
 },
 "defaultKeyValueStoreId": {
 "type": "string"
 },
 "defaultDatasetId": {
 "type": "string"
 },
 "defaultRequestQueueId": {
 "type": "string"
 },
 "buildNumber": {
 "type": "string",
 "example": "1.0.0"
 },
 "containerUrl": {
 "type": "string"
 },
 "usage": {
 "type": "object",
 "properties": {
 "ACTOR_COMPUTE_UNITS": {
 "type": "integer",
 "example": 0
 },
 "DATASET_READS": {
 "type": "integer",
 "example": 0
 },
 "DATASET_WRITES": {
 "type": "integer",
 "example": 0
 },
 "KEY_VALUE_STORE_READS": {
 "type": "integer",
 "example": 0
 },
 "KEY_VALUE_STORE_WRITES": {
 "type": "integer",
 "example": 1
 },
 "KEY_VALUE_STORE_LISTS": {
 "type": "integer",
 "example": 0
 },
 "REQUEST_QUEUE_READS": {
 "type": "integer",
 "example": 0
 },
 "REQUEST_QUEUE_WRITES": {
 "type": "integer",
 "example": 0
 },
 "DATA_TRANSFER_INTERNAL_GBYTES": {
 "type": "integer",
 "example": 0
 },
 "DATA_TRANSFER_EXTERNAL_GBYTES": {
 "type": "integer",
 "example": 0
 },
 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
 "type": "integer",
 "example": 0
 },
 "PROXY_SERPS": {
 "type": "integer",
 "example": 0
 }
 }
 },
 "usageTotalUsd": {
 "type": "number",
 "example": 0.00005
 },
 "usageUsd": {
 "type": "object",
 "properties": {
 "ACTOR_COMPUTE_UNITS": {
 "type": "integer",
 "example": 0
 },
 "DATASET_READS": {
 "type": "integer",
 "example": 0
 },
 "DATASET_WRITES": {
 "type": "integer",
 "example": 0
 },
 "KEY_VALUE_STORE_READS": {
 "type": "integer",
 "example": 0
 },
 "KEY_VALUE_STORE_WRITES": {
 "type": "number",
 "example": 0.00005
 },
 "KEY_VALUE_STORE_LISTS": {
 "type": "integer",
 "example": 0
 },
 "REQUEST_QUEUE_READS": {
 "type": "integer",
 "example": 0
 },
 "REQUEST_QUEUE_WRITES": {
 "type": "integer",
 "example": 0
 },
 "DATA_TRANSFER_INTERNAL_GBYTES": {
 "type": "integer",
 "example": 0
 },
 "DATA_TRANSFER_EXTERNAL_GBYTES": {
 "type": "integer",
 "example": 0
 },
 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
 "type": "integer",
 "example": 0
 },
 "PROXY_SERPS": {
 "type": "integer",
 "example": 0
 }
 }
 }
 }
 }
 }
 }
 }
 }
}

Copy & paste — that's it

npm install apify-client

MCP server setup

Copy & paste — that's it

{
 "mcpServers": {
 "apify": {
 "command": "npx",
 "args": [
 "mcp-remote",
 "https://mcp.apify.com/?tools=nexgendata/ecommerce-intelligence-mcp-server",
 "--header",
 "Authorization: Bearer "
 ]
 }
 }
}

Ecommerce Intelligence MCP — Shopify Data for AI Agents (nexgendata/ecommerce-intelligence-mcp-server) Actor

Pricing

What's an Apify Actor?

How to integrate an Actor?

🛒 E-commerce Intelligence MCP Server — Shopify Store Analyzer for Claude / ChatGPT

What You Get

Use Cases

Quick Start

Pricing

FAQ

About NexGenData

🔗 Related NexGenData Actors

Actor input Schema

Actor input object example

API

JavaScript example

Python example

CLI example

OpenAPI specification

MCP server setup

Ecommerce Intelligence MCP — Shopify Data for AI Agents (`nexgendata/ecommerce-intelligence-mcp-server`) Actor