# mapj

> mapj — mario-pereyra-mapj. Use this tool when you need to efficiently search and retrieve documentation within the TOTVS ecosystem, including Protheus, Datasul, RM, and Fluig. It solves problems of scattered information and lengthy search times by providing a centralized CLI and MCP server for aggregated documentation access. With git capabilities, it accepts queries as input and returns relevant documentation results as output.

Canonical page: https://skillsregistry.net/skills/mario-pereyra-mapj  
JSON: https://api.skillsregistry.net/v1/skills/mario-pereyra-mapj

## Description

Aggregated documentation search and retrieval CLI + MCP server for the TOTVS ecosystem (Protheus, Datasul, RM, Fluig). Built for AI agents.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/Mario-pereyra/mapj)

## 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": "mario-pereyra-mapj"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mario-pereyra-mapj` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mario-pereyra-mapj/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