# SEFAZ AM: Cadastro de Veículo (Outra UF)

> SEFAZ AM: Cadastro de Veículo (Outra UF) — mcp-dir-sefaz-am-cadastro-veiculo-mcp. Use this tool when you need to consult vehicle registration data from other states, as it provides a read-only interface to query official SEFAZ AM sources. It solves problems related to accessing out-of-state vehicle information, offering a seamless integration with any MCP client. Ideal for use cases requiring verification of vehicle data from other states, it takes vehicle registration inputs and returns relevant data outputs.

Canonical page: https://skillsregistry.net/skills/mcp-dir-sefaz-am-cadastro-veiculo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mcp-dir-sefaz-am-cadastro-veiculo-mcp

## Description

MCP server for consulting vehicle registration data from SEFAZ AM (Amazonas State Revenue) for vehicles from other states. It provides a read-only tool that queries official sources and works with any MCP client.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f21nrqod2d)
- **Repository:** <https://github.com/mcp-dir/sefaz_am_cadastro_veiculo-mcp>

## 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": "mcp-dir-sefaz-am-cadastro-veiculo-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mcp-dir-sefaz-am-cadastro-veiculo-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mcp-dir-sefaz-am-cadastro-veiculo-mcp/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