# fortytwo-guide

> Use this tool when you need to store and retrieve text-based information with context, provenance, and flexible search capabilities. The fortytwo-guide enables efficient recall of memories through vector search, keyword filtering, or structured queries, solving problems in knowledge management and information retrieval. It accepts text inputs and returns relevant memories based on search criteria, making it ideal for applications requiring intelligent text storage and retrieval.

Canonical page: https://skillsregistry.net/skills/justfortytwo-guide  
JSON: https://api.skillsregistry.net/v1/skills/justfortytwo-guide

## Description

A semantic-memory MCP server that stores text 'memories' with provenance and enables recall by meaning (vector search), keyword (FTS5), or structured filters.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d8pj2ma95p)
- **Repository:** <https://github.com/justfortytwo/memory>

## 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": "justfortytwo-guide"
    }
  }
}
```

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