CPFHub is the official Model Context Protocol (MCP) server that allows AI agents like Claude and Cursor to directly query Brazilian CPF data using a standardized protocol.

What kind of data can CPFHub provide?

With CPFHub's lookup_cpf function, you can retrieve the full name, gender, and date of birth associated with any Brazilian CPF number.

Is CPFHub compliant with data privacy regulations?

Yes, CPFHub is built with privacy and security in mind and is LGPD Compliant, adhering to Brazilian data protection laws.

How fast are the data queries with CPFHub?

CPFHub is designed for speed, offering a fast average response time of approximately 300 milliseconds for data queries.

How do I integrate CPFHub with my AI agent?

You can easily integrate CPFHub by installing it via `npx` and configuring your AI agent (like Claude Desktop or Cursor) with your CPFHub API key in their respective settings.

CPFHub

Name: CPFHub
Author: cpfhub

bycpfhub

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API 개발

개발자 도구

Enables AI agents to query Brazilian CPF data via a standardized protocol.

CPFHub provides the official Model Context Protocol (MCP) server for CPFHub.io, allowing AI agents like Claude, Cursor, and Windsurf to directly query Brazilian CPF data. This server offers robust functionalities to retrieve essential information such as full name, gender, and date of birth from any Brazilian CPF, while also providing tools to check remaining credits and plan status. Built with a strong emphasis on privacy and security, it is LGPD compliant and delivers fast response times for efficient data access.

주요 기능

01Look up full name, gender, and date of birth from any Brazilian CPF

02Check remaining credits and plan status with get_quota_info

03LGPD Compliant for privacy and security

04Fast (~300ms average response time)

050 GitHub stars

사용 사례

01Integrating Brazilian CPF data lookup into AI agents (e.g., Claude, Cursor, Windsurf)

02Allowing AI agents to retrieve personal data (name, gender, DOB) associated with a CPF

03Managing API usage and credit quotas for CPF data access within AI agent workflows