# mcp-memory

> mcp-memory — zimmermann06-mcp-memory. Use this tool when you need to retain user information across conversations, solving problems of personalization and context continuity in chatbots and virtual assistants. It takes in user interactions and preferences as input, storing them for future conversations, and outputs relevant user data to inform responsive and tailored interactions. Ideal for use in conversational AI applications requiring memory and user insight.

Canonical page: https://skillsregistry.net/skills/zimmermann06-mcp-memory  
JSON: https://api.skillsregistry.net/v1/skills/zimmermann06-mcp-memory

## Description

🔥🖥️ MCP Memory is a MCP Server that gives MCP Clients (Cursor, Claude, Windsurf and more) the ability to remember information about users (preferences, behaviors) across conversations.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-10-17

## Source

- **Source listing:** [GitHub](https://github.com/Zimmermann06/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": "zimmermann06-mcp-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zimmermann06-mcp-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zimmermann06-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
