# MCP Memory

> Use this tool when you need to retain user information and preferences across multiple conversations, enabling personalized interactions and seamless user experiences. It solves the problem of knowledge loss between conversations, allowing clients like Cursor, Claude, and Windsurf to recall user data using vector search technology. This tool is ideal for applications requiring persistent memory and contextual understanding, accepting user input and generating relevant output to inform subsequent interactions.

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

## Description

An MCP server that enables clients like Cursor, Claude, and Windsurf to remember user information and preferences across conversations using vector search technology.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ic3r7qso5u)
- **Repository:** <https://github.com/redaphid/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": "redaphid-mcp-memory"
    }
  }
}
```

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