# procurement-knowledge-mcp

> Use this tool when you need to efficiently query and manage procurement and inventory documents, such as invoices and purchase orders. It solves problems related to document retrieval and comparison through structured lookups, precomputed comparisons, and full-text search. The tool accepts specific query inputs and returns relevant document outputs, making it ideal for use cases that require quick and accurate document retrieval in procurement and inventory management contexts.

Canonical page: https://skillsregistry.net/skills/trussler-leveragepointdata-procurement-knowledge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/trussler-leveragepointdata-procurement-knowledge-mcp

## Description

MCP server for querying procurement and inventory documents (invoices, purchase orders, etc.) via structured lookups, precomputed comparisons, and full-text search.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ou7mjcthgb)
- **Repository:** <https://github.com/trussler-leveragepointdata/procurement-knowledge-mcp>

## 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": "trussler-leveragepointdata-procurement-knowledge-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/trussler-leveragepointdata-procurement-knowledge-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/trussler-leveragepointdata-procurement-knowledge-mcp/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
