# MCP Memory

> Use this tool when you need to retain user information across multiple conversations, enabling personalized and contextual interactions. It solves the problem of knowledge loss between conversations, allowing for more cohesive and accurate responses. With vector search technology, it takes in user data as input and outputs relevant information to inform subsequent conversations.

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

## Description

A server that gives MCP clients (Cursor, Claude, Windsurf, etc.) the ability to remember user information across conversations using vector search technology.

## Trust

- **Trust score (0–1):** 0.90
- **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/du1bmnbuwz)
- **Repository:** <https://github.com/Puliczek/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": "puliczek-mcp-memory"
    }
  }
}
```

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