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

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.

Do I need real memory files to try it?

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

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).

Which LLM providers are supported?

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

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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plur-ai

AI agents start every session with amnesia — you re-explain the project, repeat your preferences, and correct the same mistakes over and over. PLUR gives them a memory that persists. Your agent's corrections, preference

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