# go_MCP

> go_MCP — mrlouix-go-mcp. Use this tool when you need to engage in a game of Go with an AI agent, solving entertainment and strategy development problems. It provides an interactive interface to input moves and receive responses, with outputs including game state and agent decisions. Ideal for users seeking to test AI capabilities or improve their own Go skills through competitive play.

Canonical page: https://skillsregistry.net/skills/mrlouix-go-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mrlouix-go-mcp

## Description

Play Go with your AI agent!

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/MrLouix/go_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": "mrlouix-go-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mrlouix-go-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mrlouix-go-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