# Stevia Store MCP Server

> Use this tool when you need to manage an e-commerce store for organic stevia products through natural language interactions. It solves problems related to product catalog management, customer service, order processing, and sales analytics, providing a comprehensive backend solution. The Stevia Store MCP Server accepts natural language inputs and generates relevant outputs, such as product information, order status, and sales data, making it ideal for businesses like Organital that require Hebrew language support.

Canonical page: https://skillsregistry.net/skills/yairbarak22-mcpserverstevia  
JSON: https://api.skillsregistry.net/v1/skills/yairbarak22-mcpserverstevia

## Description

Enables managing an organic stevia products e-commerce store through natural language, including product catalog management, customer service, order processing, and sales analytics. Provides a complete backend for Organital's stevia business with Hebrew language support.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jrlers2ytt)
- **Repository:** <https://github.com/yairbarak22/MCPServerStevia>

## 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": "yairbarak22-mcpserverstevia"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yairbarak22-mcpserverstevia` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yairbarak22-mcpserverstevia/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
