# 魂斗罗 MCP Demo

> Use this tool when you need to create a retro-style game experience, such as a Contra-style game session, that can be played directly within compatible clients or via a browser-based fallback. It enables seamless gameplay with a simple interface, accepting game settings as input and outputting an interactive game session. Ideal for use cases requiring embedded gaming functionality, such as entertainment or educational applications.

Canonical page: https://skillsregistry.net/skills/code-cheers-deep-mcp  
JSON: https://api.skillsregistry.net/v1/skills/code-cheers-deep-mcp

## Description

Enables creating a Contra-style game session that can be played inline in MCP-compatible clients or via a browser fallback URL.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hwexuh9be6)
- **Repository:** <https://github.com/code-cheers/contra-mcp-app>

## 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": "code-cheers-deep-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/code-cheers-deep-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/code-cheers-deep-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