# Memory Server

> Use this tool when you need to manage conversational context and metadata across interactions, providing persistent memory management to enhance user experience. It solves problems of data loss and context switching by storing and retrieving relevant information via MCP tools and REST API. Ideal for applications requiring continuous conversation flow and data retention.

Canonical page: https://skillsregistry.net/skills/berthojoris-memory-server-mcp  
JSON: https://api.skillsregistry.net/v1/skills/berthojoris-memory-server-mcp

## Description

Provides persistent memory management with SQLite, enabling storage and retrieval of conversational context with metadata via MCP tools and REST API.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yemqbl3ars)
- **Repository:** <https://github.com/berthojoris/memory-server-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": "berthojoris-memory-server-mcp"
    }
  }
}
```

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