# Relax Memory MCP

> Use this tool when you need to manage and retain information across interactions, solving problems of knowledge retention and recall for AI agents. It provides a structured memory server with categorized storage, accepting inputs such as memory data and commands, and outputting retrieved or updated memory information. Ideal for use cases requiring persistent memory, such as conversational dialogue or learning applications.

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

## Description

Persistent, structured memory server for AI agents using the Model Context Protocol, with categorized storage and tools to add, get, delete, and list memories.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vr0ebnnvlg)
- **Repository:** <https://github.com/jgauffin/memory-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": "jgauffin-memory-mcp"
    }
  }
}
```

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