# MCP Memory

> Use this tool when you need to retain user information across conversations, enabling personalized and contextual interactions. MCP Memory solves the problem of information loss between conversations, allowing AI assistants to recall user preferences and history. It accepts user data as input and outputs relevant information, making it ideal for use cases requiring persistent memory storage and retrieval.

Canonical page: https://skillsregistry.net/skills/marcelacout0-mcp-memory  
JSON: https://api.skillsregistry.net/v1/skills/marcelacout0-mcp-memory

## Description

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

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dyuq0ez4jh)
- **Repository:** <https://github.com/marcelacout0/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": "marcelacout0-mcp-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marcelacout0-mcp-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marcelacout0-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