# Kroger

> Use this tool when you need to integrate grocery shopping functionality into AI assistants, enabling features like store location management, product search, and cart operations. It solves problems such as authentication, cart tracking, and order history management, providing a comprehensive interface for AI-powered shopping workflows. With inputs like user queries and location data, and outputs like product information and cart updates, it's ideal for building AI shopping assistants that guide users through the entire grocery shopping process.

Canonical page: https://skillsregistry.net/skills/cupofowls-kroger  
JSON: https://api.skillsregistry.net/v1/skills/cupofowls-kroger

## Description

Kroger MCP server provides AI assistants with access to Kroger's grocery shopping API through a comprehensive set of tools for store location management, product search, and cart operations. Developed by Stephen Thoemmes using the FastMCP framework, it handles OAuth2 authentication with browser-based flows, maintains local cart tracking since Kroger's API doesn't support cart viewing, and includes features like bulk cart operations, order history management, and product image retrieval. The implementation is particularly valuable for building AI shopping assistants that can help users find nearby stores, search for products with pricing and aisle information, manage shopping lists, and guide users through the complete grocery shopping workflow from product discovery to cart management.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/cupofowls-kroger)
- **Repository:** <https://github.com/cupofowls/kroger-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": "cupofowls-kroger"
    }
  }
}
```

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