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Nível Socioeconômico e Renda Estimada

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Socioeconomic Level and Estimated Income

Socioeconomic Level and Estimated Income for Claude, ChatGPT, and AI agents

Estimate of socioeconomic level and income of an individual based on CPF, taking into account income, occupation, and education. Hosted by the platform, no credentials required, pay per query with prepaid credit.

  • 📊 1 tool

  • 🔒 Read-only

  • 💬 Works with any MCP client: Claude Desktop, Cursor, VS Code, Cline, Continue

  • 🔑 Login via magic-link (no password)

English version · Full documentation · Skill for agents

Install in 1 click

Claude (Web and Desktop)

Anthropic unified MCP installation at claude.ai/customize/connectors. The same link works for Claude Web and Claude Desktop (just log in):

➕ Open in Claude and connect

Manual (if the deeplink doesn't open): claude.ai/customize/connectors → + → Add custom connector → paste Name Nível Socioeconômico e Renda Estimada and URL https://api.mcp.ai/p_renda_estimada.

Cursor

➕ Install Socioeconomic Level and Estimated Income in Cursor

VS Code (Copilot Chat)

➕ Install Socioeconomic Level and Estimated Income in VS Code

ChatGPT, Manus, OpenClaw, and 40+ more clients

Works with any MCP client that supports MCP over HTTP. The server URL is always:

https://api.mcp.ai/p_renda_estimada

Details per client: INSTALL.md.

Related MCP server: CPFHub MCP Server

Usage examples

Qual a renda estimada do CPF 12345678909?
Nível socioeconômico do CPF 12345678909

1 available tool

Tool

Description

renda_estimada_consultar

Estimate of socioeconomic level and income of an individual based on CPF, taking into account income, occupation, and education.

Details for each tool: docs/ferramentas.md

Pricing

Prepaid (credit wallet), pay-per-use. See docs/precos.md.

Privacy & LGPD

  • Read-only, no tool alters data at the source.

  • Sub-processors: the LLM host you choose (Claude, ChatGPT, Cursor, your own agent). Full list in docs/privacidade-lgpd.md.

  • Data returned by the tools is sent to the LLM host you choose, a sub-processor outside our control. We recommend plans with training opt-out.

Frequently asked questions

Is the server open source? The server is proprietary (hosted). This repository is the public wrapper with manifests, docs, and skills — all MIT.

Can I use it with my own agent (not Claude/Cursor)? Yes — any client that supports MCP over HTTP. URL: https://api.mcp.ai/p_renda_estimada.

Support

License

MIT — see LICENSE. The MCP server at api.mcp.ai/p_renda_estimada is proprietary (hosted); this repository (manifests, docs, skills) is MIT.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivitySlowing
ResponsivenessNo issues

Resources

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