# BrasilAPI MCP Server

> Use this tool when you need to access a wide range of Brazilian data, such as postal codes, area codes, and holidays, to enhance your AI agents and applications with seamless and unified data retrieval. It solves problems related to data integration and retrieval from various Brazilian resources, providing a unified interface for inputs and outputs. Ideal for use cases requiring up-to-date and rich Brazilian data, such as location-based services or financial applications.

Canonical page: https://skillsregistry.net/skills/mauricio-cantu-brasil-api-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/mauricio-cantu-brasil-api-mcp-server

## Description

Query a variety of data from Brasil resources seamlessly. Access information on postal codes, area codes, banks, holidays, taxes, and more through a unified interface. Enhance your AI agents and applications with rich and updated data from BrasilAPI effortlessly.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/mauricio-cantu/brasil-api-mcp-server)
- **Repository:** <https://github.com/mauricio-cantu/brasil-api-mcp-server>

## 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": "mauricio-cantu-brasil-api-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mauricio-cantu-brasil-api-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mauricio-cantu-brasil-api-mcp-server/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
