# ECommerce MCP Server

> Use this tool when you need to analyze ecommerce data using natural language queries or SQL execution, to solve problems such as customer insight, product performance, and order tracking. It provides inputs such as natural language queries and SQL commands, and outputs relevant ecommerce data, including customer, product, order, and review information. This tool is ideal for use cases where complex ecommerce data analysis is required, with a user-friendly interface via Cortex Analyst and Cortex Search.

Canonical page: https://skillsregistry.net/skills/curious-bigcat-snowflake-iceberg-duckdb-cortex-demo  
JSON: https://api.skillsregistry.net/v1/skills/curious-bigcat-snowflake-iceberg-duckdb-cortex-demo

## Description

Enables querying ecommerce data (customers, products, orders, reviews) using natural language via Cortex Analyst and Cortex Search, with SQL execution capability, all exposed as MCP tools.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/clrgi071t2)
- **Repository:** <https://github.com/curious-bigcat/snowflake-iceberg-duckdb-cortex-demo>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "curious-bigcat-snowflake-iceberg-duckdb-cortex-demo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/curious-bigcat-snowflake-iceberg-duckdb-cortex-demo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/curious-bigcat-snowflake-iceberg-duckdb-cortex-demo/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt