# Hidden Empire

> Use this tool when you need to engage in interactive text-based adventures with natural language input, solving puzzles and managing inventory through conversation. It solves the problem of cumbersome parser syntax, allowing players to focus on exploration and gameplay. Ideal for fans of classic adventure games, it provides a seamless experience with features like cross-session persistence and multi-move sequences.

Canonical page: https://skillsregistry.net/skills/mctx-ai-hidden-empire  
JSON: https://api.skillsregistry.net/v1/skills/mctx-ai-hidden-empire

## Description

Puts the full Zork I text adventure inside an AI conversation. Players explore rooms, solve puzzles, collect treasure, and manage inventory by talking naturally instead of memorizing parser syntax. The server handles cross-session persistence with named saves, batch command execution for multi-move sequences, single-level undo, and up to 20 simultaneous playthroughs per account. An independent adaptation based on the MIT-licensed Zork I source code, hosted on the mctx platform.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mctx-ai-hidden-empire)

## 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": "mctx-ai-hidden-empire"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mctx-ai-hidden-empire` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mctx-ai-hidden-empire/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
