# mcp-rpg-worldstate

> mcp-rpg-worldstate — eurobertics-mcp-rpg-worldstate. Use this tool when you need to manage complex tabletop roleplaying game worlds, characters, and plots, and want to free your AI game master from relying solely on context windows. It solves the problem of persistent memory by storing and retrieving game state, allowing for seamless saving, searching, and loading of worlds, characters, and scenes. With inputs of game data and outputs of saved and loaded game states, this tool is ideal for use in dynamic, immersive storytelling contexts.

Canonical page: https://skillsregistry.net/skills/eurobertics-mcp-rpg-worldstate  
JSON: https://api.skillsregistry.net/v1/skills/eurobertics-mcp-rpg-worldstate

## Description

Gives an AI game master a persistent memory for tabletop roleplaying games by storing worlds, characters, plots, and scenes. It enables saving, searching, and loading game state (via MCP tools) so the GM doesn't have to recall plot and details only from the context window.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i957hcrp2e)
- **Repository:** <https://github.com/Eurobertics/mcp_rpg_worldstate>

## 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": "eurobertics-mcp-rpg-worldstate"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eurobertics-mcp-rpg-worldstate` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eurobertics-mcp-rpg-worldstate/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