# brink

> brink — javaderek-brink. Use this tool when you need to engage in immersive single-player geopolitical roleplay with dynamic decision-making and a persistent world state. Brink solves problems of static storytelling and limited player agency by utilizing a large language model (LLM) game-master to enforce rules and guide the narrative. It takes player input and outputs a responsive, cinematic experience with evolving global consequences.

Canonical page: https://skillsregistry.net/skills/javaderek-brink  
JSON: https://api.skillsregistry.net/v1/skills/javaderek-brink

## Description

A single-player cinematic geopolitical roleplay MCP server where an LLM game-master handles decision-making with persistent world state and rules enforcement.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w9bvad0imj)
- **Repository:** <https://github.com/JavaDerek/brink>

## 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": "javaderek-brink"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/javaderek-brink` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/javaderek-brink/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