Memory Quality Mcp
About
A Claude Code MCP plugin that audits and cleans up your AI memory.
Details
- Author
- ladyiceberg
- Downloads
- 246
- Categories
- Knowledge Base, AI
Jump to
- 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
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Memory Quality McpCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
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.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"memory quality mcp": {
"memory-quality": {
"command": "uvx",
"args": [
"memory-quality-mcp"
],
"env": {
"OPENAI_API_KEY": "your-key-here"
}
}
}
}
}McpServers
{
"memory-quality": {
"command": "uvx",
"args": [
"memory-quality-mcp"
],
"env": {
"OPENAI_API_KEY": "your-key-here"
}
}
}Audit and clean up Claude Code's auto-saved memories.
Claude Code v2.1.59+ automatically saves memories from your conversations. Over time, your memory store accumulates stale project notes, junk memories,
conflicting preferences, and over-interpreted one-off remarks.
Memory Quality MCP gives your memory store a health check:
• memory_audit() — instant scan, no LLM cost
• memory_report() — 4-dimension scoring (Importance / Recency / Credibility / Accuracy) with conflict detection
• memory_cleanup() — safe cleanup with dry-run preview + auto-backup to .trash/
• memory_dashboard() — visual health dashboard with scores and recommendations
Supports OpenAI, Anthropic, Kimi, MiniMax. Auto-detects language (EN/ZH) from system locale.
Try demo mode first — no real memory files needed:
Open the memory dashboard in demo mode
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