# Memory Box MCP Server

> Use this tool when you need to efficiently manage and retrieve memories with advanced semantic search capabilities. It solves problems of disorganized memories by providing structured formatting and detailed context, enabling effective memory management. The Memory Box MCP Server takes in unstructured memories as input and outputs organized, searchable, and formatted memories.

Canonical page: https://skillsregistry.net/skills/amotivv-memory-box-mcp  
JSON: https://api.skillsregistry.net/v1/skills/amotivv-memory-box-mcp

## Description

Save, search, and format memories with semantic understanding. Enhance your memory management by leveraging advanced semantic search capabilities directly from Cline. Organize and retrieve your memories efficiently with structured formatting and detailed context.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/amotivv/memory-box-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": "amotivv-memory-box-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/amotivv-memory-box-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/amotivv-memory-box-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