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

... View full README on GitHub