# mcp-goods-receipt

> mcp-goods-receipt — theluckystrike-mcp-goods-receipt. Use this tool when you need to automate goods receipt note processing against purchase orders, solving inventory discrepancies and tracking received units, damages, and shortages. It provides a detailed discrepancy report and integrates with Claude Desktop, Claude Code, and Cursor. Ideal for streamlining procurement and inventory management workflows, accepting purchase order data as input and generating receipt records as output.

Canonical page: https://skillsregistry.net/skills/theluckystrike-mcp-goods-receipt  
JSON: https://api.skillsregistry.net/v1/skills/theluckystrike-mcp-goods-receipt

## Description

Model Context Protocol (MCP) server for goods receipt notes against purchase orders: units received, damaged and short, with a discrepancy report. The receiving record for purchase orders: what arrived, against which line, in what quantity and condition. 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-goods-receipt)

## 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-goods-receipt"
    }
  }
}
```

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