# memory_mcp

> memory_mcp — hidao80-memory-mcp. Use this tool when you need to manage local memory for desktop extensions, providing a server to run locally on your machine and integrating with git for version control. It solves problems related to memory management and synchronization for local applications. Ideal for development and testing environments where local memory management is crucial.

Canonical page: https://skillsregistry.net/skills/hidao80-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hidao80-memory-mcp

## Description

This is a memory MCP server for the desktop extension, designed to run locally on your machine.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/hidao80/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": "hidao80-memory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hidao80-memory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hidao80-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