# memU MCP Server

> Use this tool when you need to enhance AI applications with advanced memory management, enabling features like conversation memory storage and semantic retrieval. It solves problems related to multi-user management and memory optimization, providing insights through memory statistics. The memU MCP Server accepts standardized MCP protocol inputs and outputs, making it ideal for use cases requiring efficient memory handling in AI frameworks.

Canonical page: https://skillsregistry.net/skills/monsterone1-memu-mcp  
JSON: https://api.skillsregistry.net/v1/skills/monsterone1-memu-mcp

## Description

Enables AI applications to use advanced memory management capabilities through the memU AI framework. Supports storing conversation memories, semantic retrieval, multi-user management, and memory statistics via standardized MCP protocol.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y2ce9wdqf6)
- **Repository:** <https://github.com/MonsterOne1/memu-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": "monsterone1-memu-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/monsterone1-memu-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/monsterone1-memu-mcp/pull`

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