# Pacioli

> pacioli — john-broadway-pacioli. Use this tool when you need to integrate AI agents with ERPNext systems, providing controlled access to extensive business operations and data through a secure, governed workflow. It solves problems of data siloing, workflow automation, and access control, enabling seamless interaction between AI agents and ERPNext doctypes. With a deny-by-default approach, it ensures secure execution of 265 tools across 51 doctypes, making it ideal for applications requiring high security and compliance.

Canonical page: https://skillsregistry.net/skills/john-broadway-pacioli  
JSON: https://api.skillsregistry.net/v1/skills/john-broadway-pacioli

## Description

A governed MCP server for ERPNext that provides AI agents with access to 51 doctypes and 265 tools through a PLAN-CONSENT-EXECUTE-PROVE workflow, deny-by-default.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xn06tlhzob)
- **Repository:** <https://github.com/john-broadway/pacioli>

## 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": "john-broadway-pacioli"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/john-broadway-pacioli` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/john-broadway-pacioli/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