# Shufersal

> Use this tool when you need to automate online shopping tasks for the Israeli supermarket chain Shufersal, such as creating shopping lists from recipe links and adding items to your cart. It solves problems like manual meal planning and shopping list creation by providing personalized product search results and direct cart additions. The tool takes recipe links and user session data as inputs and outputs populated shopping carts, making it ideal for meal planning workflows that require efficient online shopping capabilities.

Canonical page: https://skillsregistry.net/skills/shufersal  
JSON: https://api.skillsregistry.net/v1/skills/shufersal

## Description

This Shufersal MCP server provides automated shopping capabilities for the Israeli supermarket chain Shufersal through browser automation using Puppeteer, developed by Mati Horowitz. The implementation enables AI assistants to create shopping lists from recipe links, search the Shufersal product catalog with personalized results for logged-in users, and add items directly to the shopping cart through a headless browser that maintains user session data. Built with TypeScript and the MCP SDK, it offers specialized tools for reading webpage content and converting it to shopping lists, making it valuable for meal planning workflows where users want to automatically populate their Shufersal cart from recipe ingredients found online.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/shufersal)
- **Repository:** <https://github.com/matipojo/shufersal-mcp>

## 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": "shufersal"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shufersal` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shufersal/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