# Protheus Research MCP Server

> Protheus Research MCP Server — limaduzz11-protheus-research. Use this tool when you need to streamline technical research and debugging in the TOTVS Protheus ecosystem, as it provides access to official documentation, community knowledge bases, and release notes. It solves problems related to runtime error debugging and ADVPL code generation, accepting queries and error logs as inputs and producing relevant information and code snippets as outputs. Ideal for use cases requiring efficient troubleshooting and code development in the Protheus environment.

Canonical page: https://skillsregistry.net/skills/limaduzz11-protheus-research  
JSON: https://api.skillsregistry.net/v1/skills/limaduzz11-protheus-research

## Description

MCP server for technical research in the TOTVS Protheus ecosystem, enabling AI agents to query official documentation, community knowledge bases, and release notes through structured tools. It supports runtime error debugging and ADVPL code generation.

## Trust

- **Trust score (0–1):** 0.69
- **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/tqn7ar4g8y)
- **Repository:** <https://github.com/limaduzz11/protheus-research>

## 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": "limaduzz11-protheus-research"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/limaduzz11-protheus-research` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/limaduzz11-protheus-research/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