Memory Quality Mcp

Name: Memory Quality Mcp
Author: ladyiceberg

@ladyiceberg

リポジトリ

Memory Quality Mcp について

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

#memory #mcp #claude #claude-code

基本情報

カテゴリ

メモリとナレッジ

トランスポート

stdio

公開者

ladyiceberg

投稿者

ladyiceberg z

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

FAQ from Memory Quality Mcp

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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