# SupliiChain MCP Sandbox

> SupliiChain MCP Sandbox — aminersolution-supliichain-mcp-sandbox. Use this tool when you need to manage and analyze inventory data efficiently, solving problems such as stock level tracking, velocity metric analysis, and purchase order management. It provides a read-only, zero-config interface for querying structured inventory schemas, generating outputs such as stock levels and velocity metrics. Ideal for use cases requiring local, lightweight inventory intelligence, such as supply chain optimization and logistics planning.

Canonical page: https://skillsregistry.net/skills/aminersolution-supliichain-mcp-sandbox  
JSON: https://api.skillsregistry.net/v1/skills/aminersolution-supliichain-mcp-sandbox

## Description

A lightweight, local inventory-intelligence MCP server that enables querying structured inventory schemas with read-only, zero-config tools for stock levels, velocity metrics, and purchase orders.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sxdoi9uj5u)
- **Repository:** <https://github.com/AMinerSolution/supliichain-mcp-sandbox>

## 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": "aminersolution-supliichain-mcp-sandbox"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aminersolution-supliichain-mcp-sandbox` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aminersolution-supliichain-mcp-sandbox/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