# Minesweeper

> Use this tool when you need to integrate AI problem-solving capabilities with a visual game environment, such as playing the classic puzzle game Minesweeper. It solves the problem of bridging AI assistants with game servers, allowing for seamless interaction through HTTP requests and image-based game state outputs. Ideal for demonstrating AI capabilities in a conversational interface, it takes in game actions and returns visual game states, making it a great tool for testing and showcasing AI problem-solving skills.

Canonical page: https://skillsregistry.net/skills/tonypan2-minesweeper  
JSON: https://api.skillsregistry.net/v1/skills/tonypan2-minesweeper

## Description

Minesweeper MCP Server provides a bridge between Claude and a Minesweeper game server, allowing AI assistants to play the classic puzzle game through a set of tools. Built by tonypan2, it communicates with a locally running game server via HTTP requests, translating game actions (start, click, flag, unflag) into API calls and returning the game state as images. The server is designed for integration with Claude Desktop through its configuration system, making it ideal for demonstrating AI problem-solving capabilities in a visual game environment without requiring the assistant to leave the conversation interface.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tonypan2-minesweeper)
- **Repository:** <https://github.com/tonypan2/minesweeper-mcp-server>

## 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": "tonypan2-minesweeper"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tonypan2-minesweeper` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tonypan2-minesweeper/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