# Memory MCP

> Use this tool when you need to efficiently manage project memories in Claude Desktop, as it stores memories as Markdown files with intelligent keyword-based retrieval. It solves problems of information overload and disorganization by automatically creating and updating memories using Large Language Models (LLM). Ideal for use in projects requiring knowledge retention and quick information recall, it takes in project data and outputs easily retrievable Markdown files.

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

## Description

Provides project memory management for Claude Desktop, storing memories as Markdown files with intelligent keyword-based retrieval and automatic creation/update decisions by LLM.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gg8y75ea4p)
- **Repository:** <https://github.com/JerryZhongJ/memory-mcp>

## 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": "jerryzhongj-memory-mcp"
    }
  }
}
```

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