# MCP Pocket Memory

> MCP Pocket Memory — robby031-mcp-pocket-memory. Use this tool when you need to manage contextual memory for AI agents, storing and searching data with SQLite. It solves problems of data persistence and retrieval for AI agents, providing an interface to update and manage memory via the Model Context Protocol. Inputs include data to be stored, and outputs include retrieved data and search results.

Canonical page: https://skillsregistry.net/skills/robby031-mcp-pocket-memory  
JSON: https://api.skillsregistry.net/v1/skills/robby031-mcp-pocket-memory

## Description

Persistent memory storage using SQLite for AI agents to store, search, update, and manage contextual memory via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sxijlf0lhs)
- **Repository:** <https://github.com/robby031/mcp-pocket-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": "robby031-mcp-pocket-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/robby031-mcp-pocket-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/robby031-mcp-pocket-memory/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