# Tribunal TRT2: Certidão Eletrônica de Ações Trabalhistas (CEAT) - Processos Digitais

> Tribunal TRT2: Certidão Eletrônica de Ações Trabalhistas (CEAT) - Processos Digitais — mcp-dir-tribunal-trt2-ceat-digital-mcp. Use this tool when you need to access official information on labor actions from the TRT2 court, as it enables consultation of electronic certificates (CEAT) through natural language input, providing digital process information as output. It solves problems related to retrieving accurate and up-to-date labor action data, streamlining research and verification processes. Ideal for use in legal research, case tracking, and verification of labor action status.

Canonical page: https://skillsregistry.net/skills/mcp-dir-tribunal-trt2-ceat-digital-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mcp-dir-tribunal-trt2-ceat-digital-mcp

## Description

Enables to consult electronic certificates of labor actions (CEAT) from the TRT2 court, providing official information through natural language.

## 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/gqex5arrhx)
- **Repository:** <https://github.com/mcp-dir/tribunal_trt2_ceat_digital-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-trt2-ceat-digital-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mcp-dir-tribunal-trt2-ceat-digital-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mcp-dir-tribunal-trt2-ceat-digital-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