# CEP (Brazilian Postal Code)

> Use this tool when you need to validate or expand Brazilian addresses based on postal codes. It provides a simple interface for querying the ViaCEP API, allowing AI assistants to retrieve address information directly from Brazil's postal code database. The tool takes a Brazilian postal code as input and returns the corresponding address information, making it useful for applications that require address validation or expansion without disrupting the conversation context.

Canonical page: https://skillsregistry.net/skills/wendellbigato-cep  
JSON: https://api.skillsregistry.net/v1/skills/wendellbigato-cep

## Description

The MCP-CEP server provides a simple interface for querying Brazilian postal codes (CEPs) via the ViaCEP API. Developed by Wendell Barreto, this implementation runs as a stdio-based server that allows AI assistants to retrieve address information directly from Brazil's postal code database. The server is built using Python with the httpx library for API requests and the MCP framework for standardized communication. It's particularly useful for applications that need to validate or expand Brazilian addresses based on postal codes without requiring users to leave their conversation context.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/wendellbigato-cep)
- **Repository:** <https://github.com/wendellbigato/mcp-cep>

## 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": "wendellbigato-cep"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wendellbigato-cep` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wendellbigato-cep/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