# Tribunal Ambiental MCP Server

> Tribunal Ambiental MCP Server — bawzenit-glitch-tribunal-ambiental-mcp. Use this tool when you need to access and review public environmental case information from the Second Environmental Tribunal of Santiago. It enables searching and retrieving case details, motions, and court documents through natural language inputs, solving problems related to legal research and case tracking. Ideal for use in legal, academic, or environmental contexts where quick access to specific case information is required.

Canonical page: https://skillsregistry.net/skills/bawzenit-glitch-tribunal-ambiental-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bawzenit-glitch-tribunal-ambiental-mcp

## Description

Enables searching and reviewing public case information from the Second Environmental Tribunal of Santiago, including case details, motions, and court documents, through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wnfag5grc0)
- **Repository:** <https://github.com/bawzenit-glitch/tribunal-ambiental-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": "bawzenit-glitch-tribunal-ambiental-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bawzenit-glitch-tribunal-ambiental-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bawzenit-glitch-tribunal-ambiental-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