# Loreum MCP Server

> Use this tool when you need to integrate AI assistants with worldbuilding data management, enabling them to query and modify entities, relationships, and timelines. It solves problems of data consistency and collaboration by funneling changes through a review queue, ensuring accuracy and control. The Loreum MCP Server takes in AI queries and modifications as input and outputs updated worldbuilding data, making it ideal for use cases requiring centralized and regulated data management.

Canonical page: https://skillsregistry.net/skills/loreum-app-loreum  
JSON: https://api.skillsregistry.net/v1/skills/loreum-app-loreum

## Description

Connects MCP-compatible AI assistants to query and modify worldbuilding data (entities, relationships, timelines, etc.) with changes going through a review queue.

## Trust

- **Trust score (0–1):** 0.40
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ln5dx24vp6)
- **Repository:** <https://github.com/loreum-app/loreum>

## 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": "loreum-app-loreum"
    }
  }
}
```

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