# CAR (Cadastro Ambiental Rural) MCP Server

> CAR (Cadastro Ambiental Rural) MCP Server — mcp-dir-car-ambiental-rural-mcp. Use this tool when you need to retrieve property information from the Brazilian Rural Environmental Registry (CAR) using a CAR number. It solves problems related to accessing and verifying rural property data in Brazil, providing a read-only query interface with prepaid per-query pricing and no credentials required. Ideal for use cases where quick and secure access to CAR data is necessary, such as land management, environmental monitoring, or agricultural planning.

Canonical page: https://skillsregistry.net/skills/mcp-dir-car-ambiental-rural-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mcp-dir-car-ambiental-rural-mcp

## Description

Enables querying the Brazilian Rural Environmental Registry (CAR) to retrieve property information from a CAR number. It provides a single read-only tool, hosted with prepaid per-query pricing and no credentials required.

## 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/n3bp0gim1c)
- **Repository:** <https://github.com/mcp-dir/car_ambiental_rural-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-car-ambiental-rural-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mcp-dir-car-ambiental-rural-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mcp-dir-car-ambiental-rural-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