Claude's built-in memory is limited — it stores only ~1,500 words of summarized preferences, and those memories are trapped inside Claude. The Claude Memory Tool Protocol (via MCP) breaks these limits, giving Claude access to unlimited, searchable, cross-platform memory from all your AI conversations.

What Is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is an open standard that lets AI applications (like Claude Desktop, Cursor, Windsurf, and VS Code) connect to external data sources and tools. Think of it as "USB for AI" — a universal way for AI to access your files, databases, and memory.

AI Memory's MCP Server implements this protocol, exposing 12 memory tools that Claude can call natively. When you chat with Claude, it can decide to save important facts, search your past conversations, or retrieve specific memories — all automatically.

How Claude Uses MCP for Memory

When you add the AI Memory MCP Server to Claude Desktop, here's what happens:

1. Claude starts with memory access — The MCP server runs locally on your machine, and Claude Desktop connects to it on startup.
2. Claude sees 12 memory tools — Each tool has a description that tells Claude when and how to use it (e.g., "Use this tool to save important facts the user shares").
3. Claude decides when to call tools — Based on your conversation, Claude might save a preference you mention, search for a past discussion, or retrieve a specific memory.
4. Tools run locally — All memory operations use your local SQLite database. No data leaves your computer.

12 Memory Tools Available to Claude

The AI Memory MCP Server gives Claude access to these tools:

Step-by-Step Setup Guide

Step 1: Install the MCP Server

pip install aimemory-mcp-server

Step 2: Configure Claude Desktop

Edit your Claude Desktop config file:

• macOS/Linux: ~/.config/claude-desktop/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "ai-memory": {
      "command": "aimemory-mcp-server"
    }
  }
}

Step 3: Restart Claude Desktop

Completely quit and restart Claude Desktop. You should see "ai-memory" in the MCP servers list (look for the tools icon in the input area).

Step 4: Test It

Start a conversation and say: "Please save this memory: I'm working on a Next.js project". Claude should call the save_memory tool automatically.

MCP Memory vs Claude Built-in Memory

Using Memory with Cursor & VS Code

The same MCP server works with Cursor, VS Code (Continue extension), and Windsurf. The setup is nearly identical:

Cursor Setup

Add to .cursor/mcp.json in your project:

{
  "mcpServers": {
    "ai-memory": {
      "command": "aimemory-mcp-server"
    }
  }
}

VS Code (Continue) Setup

Add to your Continue config or MCP settings:

{
  "mcpServers": {
    "ai-memory": {
      "command": "aimemory-mcp-server"
    }
  }
}

Now your coding assistant can remember your project context, coding preferences, and past decisions — even if those were discussed in ChatGPT or Claude web interfaces.

Frequently Asked Questions