# Nível Socioeconômico e Renda Estimada

> Nível Socioeconômico e Renda Estimada — mcp-dir-renda-estimada-mcp. Use this tool when you need to estimate a Brazilian individual's socioeconomic level and income based on their CPF. It solves problems related to customer profiling, credit scoring, and targeted marketing by providing insights into an individual's financial situation. The tool takes a CPF as input and returns an estimated socioeconomic level and income via HTTP.

Canonical page: https://skillsregistry.net/skills/mcp-dir-renda-estimada-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mcp-dir-renda-estimada-mcp

## Description

Enables AI agents to estimate a Brazilian individual's socioeconomic level and income from their CPF, based on income, occupation, and education. Provides a single read-only tool for querying this data via MCP over HTTP.

## Trust

- **Trust score (0–1):** 0.40
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dnkmpenbu8)
- **Repository:** <https://github.com/mcp-dir/renda_estimada-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-renda-estimada-mcp"
    }
  }
}
```

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