# MCP Memory

> Use this tool when you need to retain user context and preferences across multiple conversations, enabling personalized and seamless interactions. It solves the problem of information loss between conversations, allowing AI assistants to recall user data and adapt responses accordingly. With secure, isolated storage and vector search technology, it provides a robust interface for inputting and retrieving user information.

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

## Description

Enables AI assistants to remember user information and preferences across conversations using vector search technology. Built on Cloudflare infrastructure with isolated user namespaces for secure, persistent memory storage.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x62zvi65ev)
- **Repository:** <https://github.com/julianorck/mcp-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": "julianorck-mcp-memory"
    }
  }
}
```

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