CPFHub MCP Server

CPFHub MCP Server

MCP server for CPFHub.io that enables AI agents to retrieve identity data (full name, gender, date of birth) from Brazilian CPF numbers and check API quota.

Category
访问服务器

README

cpfhub-mcp: Official MCP Server for CPFHub.io

🇺🇸 English | 🇧🇷 Português

Official Model Context Protocol (MCP) server for CPFHub.io — Brazilian CPF Lookup API for AI agents.

npm version License: MIT


What is CPFHub.io?

CPFHub.io is a REST API that returns identity data — full name, gender, and date of birth — from any Brazilian CPF number, in ~300ms, with 99.9% uptime and full LGPD compliance.

10M+ CPFs queried · 1,300+ active companies · 99.9% uptime


Tools

This MCP server exposes the following tools:

Tool Description
get_person_by_cpf Retrieve identity data (full name, gender, date of birth) from a Brazilian CPF number
get_quota_information Retrieve remaining API credits and current plan status

Tool Definition

{
  "name": "get_person_by_cpf",
  "description": "Retrieve identity data from a Brazilian CPF number",
  "parameters": {
    "type": "object",
    "properties": {
      "cpf": {
        "type": "string",
        "description": "Brazilian CPF number (digits only or formatted as XXX.XXX.XXX-XX)"
      }
    },
    "required": ["cpf"]
  }
}

Quick Start

# Set your API key
export CPFHUB_API_KEY=your_api_key_here

# Run the MCP server directly with npx (no install needed)
npx @cpfhub/mcp

Get your free API key at app.cpfhub.io — no credit card required.


curl Example

curl -X GET "https://api.cpfhub.io/cpf/12345678909" \
  -H "x-api-key: YOUR_API_KEY"

Response:

{
  "success": true,
  "data": {
    "cpf": "12345678909",
    "name": "Fulano de Tal",
    "nameUpper": "FULANO DE TAL",
    "gender": "M",
    "birthDate": "15/06/1990",
    "day": 15,
    "month": 6,
    "year": 1990
  }
}

Configuration

Claude Desktop

Add the following to your claude_desktop_config.json:

{
  "mcpServers": {
    "cpfhub": {
      "command": "npx",
      "args": ["-y", "@cpfhub/mcp"],
      "env": {
        "CPFHUB_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

Cursor

  1. Go to Settings > Features > MCP.
  2. Click + Add New MCP Server.
  3. Name: CPFHub
  4. Type: command
  5. Command: export CPFHUB_API_KEY=YOUR_API_KEY_HERE && npx -y @cpfhub/mcp

Windsurf

Add to your MCP configuration file:

{
  "mcpServers": {
    "cpfhub": {
      "command": "npx",
      "args": ["-y", "@cpfhub/mcp"],
      "env": {
        "CPFHUB_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

OpenAI Function Calling Example

import os
import json
import requests
from openai import OpenAI

client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
CPFHUB_API_KEY = os.environ["CPFHUB_API_KEY"]

tools = [
    {
        "type": "function",
        "function": {
            "name": "get_person_by_cpf",
            "description": "Retrieve identity data from a Brazilian CPF number",
            "parameters": {
                "type": "object",
                "properties": {
                    "cpf": {"type": "string", "description": "Brazilian CPF number"}
                },
                "required": ["cpf"],
            },
        },
    }
]

def get_person_by_cpf(cpf: str) -> dict:
    response = requests.get(
        f"https://api.cpfhub.io/cpf/{cpf.replace('.', '').replace('-', '')}",
        headers={"x-api-key": CPFHUB_API_KEY},
    )
    return response.json()

messages = [{"role": "user", "content": "Who is the person with CPF 123.456.789-09?"}]
response = client.chat.completions.create(model="gpt-4o", messages=messages, tools=tools)
message = response.choices[0].message

if message.tool_calls:
    args = json.loads(message.tool_calls[0].function.arguments)
    result = get_person_by_cpf(args["cpf"])
    print(result)

LangChain Example

See examples/langchain_example.py for a full LangChain agent integration example.


Requirements


Links

Resource URL
Documentation https://cpfhub.io/documentacao
Dashboard https://app.cpfhub.io
OpenAPI Specification https://github.com/cpfhub/cpfhub-openapi
Node.js SDK https://github.com/cpfhub/cpfhub-node
Python SDK https://github.com/cpfhub/cpfhub-python
All SDKs https://github.com/cpfhub

License

MIT © CPFHub.io


Português

🇺🇸 English | 🇧🇷 Português

Servidor Model Context Protocol (MCP) oficial para CPFHub.io — API de Consulta de CPF Brasileiro para agentes de IA.


O que é o CPFHub.io?

O CPFHub.io é uma API REST que retorna dados de identidade — nome completo, gênero e data de nascimento — de qualquer CPF brasileiro, em ~300ms, com 99,9% de uptime e total conformidade com a LGPD.

10M+ CPFs consultados · 1.300+ empresas ativas · 99,9% uptime


Ferramentas (Tools)

Este servidor MCP expõe as seguintes ferramentas:

Ferramenta Descrição
get_person_by_cpf Recupera dados de identidade (nome completo, gênero, data de nascimento) a partir de um CPF brasileiro
get_quota_information Recupera os créditos de API restantes e o status do plano atual

Definição da Ferramenta

{
  "name": "get_person_by_cpf",
  "description": "Retrieve identity data from a Brazilian CPF number",
  "parameters": {
    "type": "object",
    "properties": {
      "cpf": {
        "type": "string",
        "description": "Brazilian CPF number (digits only or formatted as XXX.XXX.XXX-XX)"
      }
    },
    "required": ["cpf"]
  }
}

Início Rápido

# Configure sua chave de API
export CPFHUB_API_KEY=sua_chave_de_api_aqui

# Execute o servidor MCP diretamente com npx (sem instalação)
npx @cpfhub/mcp

Obtenha sua chave de API gratuita em app.cpfhub.io — sem cartão de crédito.


Exemplo curl

curl -X GET "https://api.cpfhub.io/cpf/12345678909" \
  -H "x-api-key: SUA_CHAVE_DE_API"

Resposta:

{
  "success": true,
  "data": {
    "cpf": "12345678909",
    "name": "Fulano de Tal",
    "nameUpper": "FULANO DE TAL",
    "gender": "M",
    "birthDate": "15/06/1990",
    "day": 15,
    "month": 6,
    "year": 1990
  }
}

Configuração

Claude Desktop

Adicione o seguinte ao seu claude_desktop_config.json:

{
  "mcpServers": {
    "cpfhub": {
      "command": "npx",
      "args": ["-y", "@cpfhub/mcp"],
      "env": {
        "CPFHUB_API_KEY": "SUA_CHAVE_DE_API_AQUI"
      }
    }
  }
}

Cursor

  1. Acesse Settings > Features > MCP.
  2. Clique em + Add New MCP Server.
  3. Nome: CPFHub
  4. Tipo: command
  5. Comando: export CPFHUB_API_KEY=SUA_CHAVE_DE_API_AQUI && npx -y @cpfhub/mcp

Windsurf

Adicione ao seu arquivo de configuração MCP:

{
  "mcpServers": {
    "cpfhub": {
      "command": "npx",
      "args": ["-y", "@cpfhub/mcp"],
      "env": {
        "CPFHUB_API_KEY": "SUA_CHAVE_DE_API_AQUI"
      }
    }
  }
}

Exemplo com OpenAI Function Calling

import os
import json
import requests
from openai import OpenAI

client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
CPFHUB_API_KEY = os.environ["CPFHUB_API_KEY"]

tools = [
    {
        "type": "function",
        "function": {
            "name": "get_person_by_cpf",
            "description": "Retrieve identity data from a Brazilian CPF number",
            "parameters": {
                "type": "object",
                "properties": {
                    "cpf": {"type": "string", "description": "Brazilian CPF number"}
                },
                "required": ["cpf"],
            },
        },
    }
]

def get_person_by_cpf(cpf: str) -> dict:
    response = requests.get(
        f"https://api.cpfhub.io/cpf/{cpf.replace('.', '').replace('-', '')}",
        headers={"x-api-key": CPFHUB_API_KEY},
    )
    return response.json()

messages = [{"role": "user", "content": "Quem é a pessoa com CPF 123.456.789-09?"}]
response = client.chat.completions.create(model="gpt-4o", messages=messages, tools=tools)
message = response.choices[0].message

if message.tool_calls:
    args = json.loads(message.tool_calls[0].function.arguments)
    result = get_person_by_cpf(args["cpf"])
    print(result)

Exemplo com LangChain

Veja examples/langchain_example.py para um exemplo completo de integração com agente LangChain.


Requisitos

  • Node.js 18 ou superior
  • Uma chave de API válida de app.cpfhub.io

Links

Recurso URL
Documentação https://cpfhub.io/documentacao
Dashboard https://app.cpfhub.io
Especificação OpenAPI https://github.com/cpfhub/cpfhub-openapi
SDK Node.js https://github.com/cpfhub/cpfhub-node
SDK Python https://github.com/cpfhub/cpfhub-python
Todos os SDKs https://github.com/cpfhub

Licença

MIT © CPFHub.io

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选