# Remuneração de Servidores (Transparência)

> Remuneração de Servidores (Transparência) — mcp-dir-transparencia-servidores-remuneracao-mcp. Use this tool when you need to access remuneration data of Brazilian federal executive servants, enabling you to query salaries by CPF and month/year. It provides read-only access to data from the Transparency Portal, solving problems related to transparency and public servant salary information. Ideal for use cases requiring accurate and up-to-date salary data, such as research, auditing, or public inquiries.

Canonical page: https://skillsregistry.net/skills/mcp-dir-transparencia-servidores-remuneracao-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mcp-dir-transparencia-servidores-remuneracao-mcp

## Description

Provides read-only access to remuneration data of Brazilian federal executive servants from the Transparency Portal, enabling salary queries by CPF and month/year.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tuj28xoxy2)
- **Repository:** <https://github.com/mcp-dir/transparencia_servidores_remuneracao-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": "mcp-dir-transparencia-servidores-remuneracao-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mcp-dir-transparencia-servidores-remuneracao-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mcp-dir-transparencia-servidores-remuneracao-mcp/pull`

---
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