# mcp-purchase-requisition

> mcp-purchase-requisition — theluckystrike-mcp-purchase-requisition. Use this tool when you need to streamline purchase requisition processes with automated approval tracking and signed records. It solves problems of manual approval management and audit trails, providing a secure and efficient way to manage orders. The mcp-purchase-requisition tool takes in purchase orders and outputs approved requisitions with signed records, integrating with platforms like Claude Desktop and git for seamless workflow management.

Canonical page: https://skillsregistry.net/skills/theluckystrike-mcp-purchase-requisition  
JSON: https://api.skillsregistry.net/v1/skills/theluckystrike-mcp-purchase-requisition

## Description

Model Context Protocol (MCP) server for purchase requisitions you build once and approve per order, with the signed record of each approval. Purchase requisitions you build once and approve per order, with the signed record of each approval. Works with Claude Desktop, Claude Code and Cursor.

## Trust

- **Trust score (0–1):** 0.93
- **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-purchase-requisition)

## 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-purchase-requisition"
    }
  }
}
```

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