# worldku-mcp

> worldku-mcp — mnemosics-worldku-mcp. Use this tool when you need to save and recall AI conversations across different platforms. It solves the problem of lost conversations by storing them in a centralized Worldku memory, allowing for seamless recall from any MCP client. This tool takes in AI conversation inputs and outputs recalled conversations, making it ideal for use cases requiring conversation persistence and accessibility.

Canonical page: https://skillsregistry.net/skills/mnemosics-worldku-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mnemosics-worldku-mcp

## Description

The official MCP server for Worldku memory. Save AI conversations into your Worldku memory and recall them back from any MCP client.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tu07ougnjx)
- **Repository:** <https://github.com/mnemosics/worldku-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": "mnemosics-worldku-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mnemosics-worldku-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mnemosics-worldku-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