# Tribunal TRT14: Certidão Eletrônica de Ações Trabalhistas (CEAT)

> Tribunal TRT14: Certidão Eletrônica de Ações Trabalhistas (CEAT) — mcp-dir-tribunal-trt14-ceat-mcp. Use this tool when you need to access official labor lawsuit certificates from Tribunal TRT14, as it provides a read-only server for consulting CEAT via HTTP, solving labor lawsuit verification and documentation needs with a pay-per-use prepaid credit system. It accepts HTTP requests and returns official certificate data, making it suitable for integration with any MCP client. Ideal for use cases requiring verification of labor lawsuit information, such as legal research or case tracking.

Canonical page: https://skillsregistry.net/skills/mcp-dir-tribunal-trt14-ceat-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mcp-dir-tribunal-trt14-ceat-mcp

## Description

Read-only MCP server for consulting official labor lawsuit certificates (CEAT) from Tribunal TRT14 via HTTP. Works with any MCP client, with pay-per-use prepaid credits.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b0cmvjqu0y)
- **Repository:** <https://github.com/mcp-dir/tribunal_trt14_ceat-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-tribunal-trt14-ceat-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mcp-dir-tribunal-trt14-ceat-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mcp-dir-tribunal-trt14-ceat-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
