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Memory Quality MCP Server

@ladyiceberg

代码仓库

基本信息

分类

记忆与知识

传输方式

stdio

作者

ladyiceberg

提交者

ladyiceberg z

关于 Memory Quality MCP Server

A Claude Code MCP plugin that audits and cleans up your AI memory.

#memory#mcp#claude#claude-code

Memory Quality MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "memory-quality": {
      "command": "uvx",
      "args": [
        "memory-quality-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "your-key-here"
      }
    }
  }
}

Memory Quality MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Memory Quality Mcp?

Memory Quality Mcp audits and cleans up Claude Code’s auto-saved memories. It provides a health check with four tools that scan, score, clean, and visualize your memory store. It supports multiple LLM providers and auto-detects language from system locale.

How to use Memory Quality Mcp?

Invoke the provided tools (memory_audit(), memory_report(), memory_cleanup(), memory_dashboard()) after installation. A demo mode is available that requires no real memory files.

Key features of Memory Quality Mcp

  • Instant memory scan with no LLM cost (memory_audit())
  • Four-dimension scoring: Importance, Recency, Credibility, Accuracy
  • Conflict detection and safe cleanup with dry-run preview
  • Auto-backup of cleaned memories to .trash/ folder
  • Visual health dashboard with scores and recommendations
  • Supports OpenAI, Anthropic, Kimi, and MiniMax providers

Use cases of Memory Quality Mcp

  • Audit a bloated memory store for stale or junk entries
  • Identify conflicting preferences saved over many sessions
  • Clean up one-off remarks that were over-interpreted as facts
  • Generate a health report to understand memory quality at a glance

常见问题

1

What does Memory Quality Mcp do?

It scans and cleans up the automatic memories that Claude Code saves from conversations, helping you remove stale, conflicting, or junk entries.

2

Do I need real memory files to try it?

No. You can use demo mode first—no real memory files are required.

3

What tools are available?

Four tools: `memory_audit()` (instant scan), `memory_report()` (scoring + conflict detection), `memory_cleanup()` (safe cleanup with backup), and `memory_dashboard()` (visual health dashboard).

4

Which LLM providers are supported?

OpenAI, Anthropic, Kimi, and MiniMax are explicitly mentioned.

5

Is the cleanup operation safe?

Yes. It offers a dry-run preview and automatically backs up memories to a `.trash/` folder before performing any cleanup.

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