# Connect4-rs

> Connect4-rs — rainerz-connect4-rs. Use this tool when you need to play or simulate games of Connect Four, either manually through its egui GUI or programmatically via its MCP server, allowing for human or AI-driven gameplay. It solves problems of game simulation, AI testing, and entertainment by providing a fast and interactive engine. Input your moves or let a Large Language Model (LLM) play, with output displayed in the GUI or sent through the server interface.

Canonical page: https://skillsregistry.net/skills/rainerz-connect4-rs  
JSON: https://api.skillsregistry.net/v1/skills/rainerz-connect4-rs

## Description

Fast Connect Four engine in Rust with egui GUI and MCP server — play it yourself or let an LLM try

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/RainerZ/Connect4-rs)

## 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": "rainerz-connect4-rs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rainerz-connect4-rs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rainerz-connect4-rs/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