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Mirror Memory MCP Server

Personal knowledge base MCP server with semantic search, auto-categorization, metadata extraction

Unclaimed last commit 6 months ago search
34Low

Scored 6 months ago · breakdown

About Mirror Memory MCP Server

Mirror Memory MCP Server is an MCP server published by mirrormemory-ai in the Search category: personal knowledge base MCP server with semantic search, auto-categorization, metadata extraction.

Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/mirrormemory-ai/mcp-server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (4)

get_recent_memoriesRetrieve your most recently stored memories.

Parameters not published.

list_categoriesList all available memory categories (Ideas, Tasks, Notes, People, Work, etc.).

Parameters not published.

search_memoriesSemantic similarity search across your memories. Use specific terms from the user's question for best results.

Parameters not published.

store_memorySave a new thought or piece of information. Auto-categorized via AI, auto-extracts people, topics, action items, and dates.

Parameters not published.

Ask AI

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Ask AI about Mirror Memory MCP Server

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I know everything about Mirror Memory MCP Server. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ✓README presentThe repository ships documentation.

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README

Mirror Memory MCP Server

Give your AI a memory. Mirror Memory is a personal knowledge base that lets Claude, ChatGPT, Cursor, and any MCP-compatible AI remember what matters to you — your preferences, experiences, goals, people, and ideas.

Capture thoughts via the web app, Telegram, or directly through MCP tools. Search them semantically. Your AI assistant becomes one that actually knows you.

Website: mirrormemory.ai App: app.mirrormemory.ai

MCP Tools

Tool Description
search_memories Semantic similarity search across your memories. Use specific terms from the user's question for best results.
store_memory Save a new thought or piece of information. Auto-categorized via AI, auto-extracts people, topics, action items, and dates.
list_categories List all available memory categories (Ideas, Tasks, Notes, People, Work, etc.).
get_recent_memories Retrieve your most recently stored memories.

Quick Setup

1. Get your API key

Sign up at app.mirrormemory.ai, then go to Settings > API Keys to generate your MCP key.

2. Connect your AI

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "mirror-memory": {
      "url": "https://hcelnlqmgddxzvjegpdr.supabase.co/functions/v1/mcp-server",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Claude Code (~/.claude/settings.json):

{
  "mcpServers": {
    "mirror-memory": {
      "url": "https://hcelnlqmgddxzvjegpdr.supabase.co/functions/v1/mcp-server",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Cursor (.cursor/mcp.json):

{
  "mcpServers": {
    "mirror-memory": {
      "url": "https://hcelnlqmgddxzvjegpdr.supabase.co/functions/v1/mcp-server",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Windsurf, Cline, or any MCP client — use the same URL and API key pattern above.

3. Start talking

Once connected, your AI will automatically search your memories for relevant context and store new information you share. No special commands needed.

How It Works

You say something → AI calls store_memory → embedded + categorized + metadata extracted → stored
You ask something → AI calls search_memories → semantic vector search → relevant memories returned

Every memory is:

  • Embedded as a 1536-dim vector for semantic search
  • Auto-categorized into one of 12+ categories via AI
  • Metadata-enriched — people mentioned, action items, topics, dates, and knowledge type are extracted automatically
  • Deduplicated via SHA-256 content fingerprinting

Features

  • Multi-channel capture — Web app, Telegram bot, MCP tools, import
  • Semantic search — Find memories by meaning, not just keywords
  • AI categorization — 12 built-in categories + custom categories
  • Rich metadata — People, action items, topics, dates extracted automatically
  • Memory lifecycle — Active, archived, and superseded states
  • Weekly digests — AI-synthesized email summaries of your memories
  • Export — Download everything as markdown. No lock-in.
  • Privacy first — Row-level security. We track engagement events, never content.

Pricing

Plan Price Memories Channels
Free $0 100/month Web + Telegram
Solo Pro $9/mo Unlimited Web + Telegram + MCP + Export
Lifetime $199 once Unlimited Everything, forever

MCP access requires Solo Pro or Lifetime.

Transport

  • Protocol: MCP over Streamable HTTP (JSON-RPC 2.0)
  • Auth: API key in Authorization: Bearer <key> header
  • Rate limit: 100 requests/minute per key
  • Endpoint: https://hcelnlqmgddxzvjegpdr.supabase.co/functions/v1/mcp-server

Links

License

Mirror Memory is a managed service. This repository contains documentation and configuration for the MCP server integration.

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Mirror Memory MCP Server

How do I install Mirror Memory MCP Server?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Mirror Memory MCP Server safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Mirror Memory MCP Server still maintained?

The last commit was 6 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.