# Caseware Procurement Document MCP Server

> Use this tool when you need to efficiently search and retrieve specific information from procurement documents, such as invoices, purchase orders, and contracts, to answer complex questions. It solves problems related to document management, data retrieval, and query answering by leveraging hybrid SQL and vector retrieval capabilities. This tool is ideal for use cases where AI agents require accurate and relevant information from large collections of procurement documents.

Canonical page: https://skillsregistry.net/skills/luiscanaveral-caseware-codechallenge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/luiscanaveral-caseware-codechallenge-mcp

## Description

Enables AI agents to search, retrieve, and answer grounded questions over procurement documents (invoices, purchase orders, contracts, etc.) using hybrid SQL and vector retrieval.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dys2pnf4gj)
- **Repository:** <https://github.com/luiscanaveral/caseware.codechallenge.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": "luiscanaveral-caseware-codechallenge-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/luiscanaveral-caseware-codechallenge-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/luiscanaveral-caseware-codechallenge-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