# Tribunal TRF3: Consulta Pública

> Tribunal TRF3: Consulta Pública — mcp-dir-tribunal-trf3-consulta-publica-mcp. Use this tool when you need to access official public data from Brazil's TRF3 tribunal, as it provides a read-only API for consulting data through any MCP over HTTP client. It solves problems related to retrieving public records and official information from TRF3, offering a convenient and standardized interface. The tool takes query inputs and returns relevant public data outputs, making it ideal for use cases requiring accurate and up-to-date information from TRF3.

Canonical page: https://skillsregistry.net/skills/mcp-dir-tribunal-trf3-consulta-publica-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mcp-dir-tribunal-trf3-consulta-publica-mcp

## Description

MCP server for consulting official public data from Brazil's TRF3 (Tribunal Regional Federal da 3ª Região) through a read-only hosted API, compatible with any MCP over HTTP 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/wy6s4jf2yd)
- **Repository:** <https://github.com/mcp-dir/tribunal_trf3_consulta_publica-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-trf3-consulta-publica-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mcp-dir-tribunal-trf3-consulta-publica-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mcp-dir-tribunal-trf3-consulta-publica-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