# zmachine-mcp

> Use this tool when you need to interact with Z-Machine text adventure games, such as Zork, and integrate them into your AI workflows via MCP, REST, or WebSocket interfaces. It solves the problem of playing and managing text adventure games programmatically, allowing for session management and optional persistence. This tool is ideal for use cases where you want to leverage AI agents to play and learn from classic interactive fiction games.

Canonical page: https://skillsregistry.net/skills/jonathan-meyer-zmachine-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jonathan-meyer-zmachine-mcp

## Description

Enables AI agents to play Z-Machine text adventure games (e.g., Zork) via MCP, REST, or WebSocket interfaces, with session management and optional Redis persistence.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qcly980xjp)
- **Repository:** <https://github.com/jonathan-meyer/zmachine-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": "jonathan-meyer-zmachine-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jonathan-meyer-zmachine-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jonathan-meyer-zmachine-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