# Tribunal TRT8: Consulta Processual

> Tribunal TRT8: Consulta Processual — mcp-dir-tribunal-trt8-processo-mcp. Use this tool when you need to access and inquire about Brazilian labor court proceedings in a convenient and user-friendly manner. It solves the problem of manually searching for case information by allowing natural language queries to retrieve process details from the TRT8 labor court. The tool accepts natural language inputs and returns relevant case information as output, making it ideal for legal research and case tracking in the Brazilian labor court context.

Canonical page: https://skillsregistry.net/skills/mcp-dir-tribunal-trt8-processo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mcp-dir-tribunal-trt8-processo-mcp

## Description

Provides read-only consultation of legal proceedings from the Brazilian TRT8 labor court through an official source, enabling users to inquire about process details using natural language with any MCP-compatible 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/rf6rrx0zsn)
- **Repository:** <https://github.com/mcp-dir/tribunal_trt8_processo-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-trt8-processo-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mcp-dir-tribunal-trt8-processo-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mcp-dir-tribunal-trt8-processo-mcp/pull`

---
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