# MCP Memory

> Use this tool when you need to retain user preferences and behaviors across conversations, enabling personalized interactions and informed responses. It solves the problem of knowledge loss between conversations, allowing for more cohesive and tailored user experiences. With vector search capabilities, it accepts user data as input and outputs relevant information to inform client responses, such as those from Cursor and Claude.

Canonical page: https://skillsregistry.net/skills/tdyfy9-mcp-memory  
JSON: https://api.skillsregistry.net/v1/skills/tdyfy9-mcp-memory

## Description

MCP Memory is a MCP Server that gives clients like Cursor and Claude the ability to remember user preferences and behaviors 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/yk1fdm9yks)
- **Repository:** <https://github.com/tdyfy9/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": "tdyfy9-mcp-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tdyfy9-mcp-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tdyfy9-mcp-memory/pull`

---
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