# mcp-memory

> Use this tool when you need to retain user preferences and information across conversations, enabling personalized interactions and seamless dialogue continuity. It solves the problem of knowledge loss between conversations, allowing for more accurate and relevant responses. The mcp-memory tool takes in user input and conversation history, outputting stored preferences and information for use in subsequent interactions.

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

## Description

Enables MCP clients like Cursor and Claude to remember user preferences and information across conversations using vector search.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rz92hgotkn)
- **Repository:** <https://github.com/HrochJiri/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": "hrochjiri-mcp-memory"
    }
  }
}
```

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