# mcp-packing-list

> mcp-packing-list — theluckystrike-mcp-packing-list. Use this tool when you need to manage and track packaging details, such as carton contents, weights, and chargeable weights, to streamline shipping and logistics processes. It solves problems related to inventory management, shipping, and order fulfillment by providing a centralized system for generating packing slips and lists. The tool accepts input on items to be packed and outputs detailed packing lists and slips, making it ideal for use in e-commerce, warehousing, and supply chain management contexts.

Canonical page: https://skillsregistry.net/skills/theluckystrike-mcp-packing-list  
JSON: https://api.skillsregistry.net/v1/skills/theluckystrike-mcp-packing-list

## Description

Model Context Protocol (MCP) server for packing slips and packing lists: cartons, contents, weights, chargeable weight and what is still to pack. Packing slips that carry no prices: what is in each carton, what it weighs, and what is still to pack. Works with Claude Desktop, Claude Code and Cursor.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/theluckystrike/mcp-packing-list)

## 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": "theluckystrike-mcp-packing-list"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/theluckystrike-mcp-packing-list` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/theluckystrike-mcp-packing-list/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