🏛️ Kratos MCP

Ultra-Lean Memory System for AI Coding Tools

Never explain your codebase again. Let AI remember everything.

🌐 kratos-mcp.com • Installation • Quick Start • Features • Tools

🎯 Why Kratos?

After building 30+ production apps with AI, we discovered a critical problem: AI tools forget everything between sessions. You explain your architecture, your patterns, your decisions—and tomorrow, you explain it all again.

Kratos MCP solves this with an ultra-lean memory system that gives AI perfect recall of your project—with minimal context overhead.

✨ Features

🔒 100% Project Isolation

Each project gets its own SQLite database. No cross-contamination. Ever.

⚡ Zero Configuration

Auto-detects projects via git, package.json, or directory structure. Just install and code.

🪶 Ultra-Lean Architecture

Just 12 essential tools. 64% smaller context footprint than competitors.

🌍 Universal Protocol

Works with Claude, Cursor, Windsurf, Continue—any MCP-compatible tool.

🚀 Installation

# Install globally
npm install -g kratos-mcp

# Or run directly with npx (no installation required)
npx kratos-mcp

# Or install as a dependency
npm install kratos-mcp

🎬 Quick Start

1️⃣ Configure Your AI Tool

Add to your Claude Desktop config file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/claude/claude_desktop_config.json

{
  "mcpServers": {
    "kratos": {
      "command": "npx",
      "args": ["--yes", "kratos-mcp@latest"]
    }
  }
}

Or if you have it installed globally:

{
  "mcpServers": {
    "kratos": {
      "command": "kratos-mcp",
      "args": []
    }
  }
}

Run this command in your terminal:

claude mcp add kratos -- npx --yes kratos-mcp@latest

Or for global installation:

# First install globally
npm install -g kratos-mcp@latest

# Then add to Claude Code
claude mcp add kratos -- kratos-mcp

See Claude Code MCP docs for more info.

Add to .cursor/mcp_config.json in your project root:

{
  "mcpServers": {
    "kratos": {
      "command": "npx",
      "args": ["--yes", "kratos-mcp@latest"]
    }
  }
}

Kratos works with any tool supporting the Model Context Protocol. The general format is:

{
  "command": "npx",
  "args": ["kratos-mcp"]
}

Compatible with: Windsurf, Cline, BoltAI, Augment Code, Roo Code, Zencoder, Amazon Q, Qodo Gen, JetBrains AI, Warp, Opencode, Continue.dev, Zed, and more!

Check your tool's documentation for specific MCP server configuration location.

2️⃣ Start Using Kratos

// Your AI now remembers:
// ✓ Your authentication patterns
// ✓ Your API structure
// ✓ Your component architecture
// ✓ Your coding standards
// ✓ Every decision you've made

🛠️ Available Tools

Kratos provides 12 ultra-lean tools optimized for minimal context consumption:

💾 Memory Management (7 tools)

🔒 Security (1 tool)

📁 Project Management (3 tools)

⚙️ System (1 tool)

📊 How It Works

graph LR
    A[Your Code] --> B[Kratos MCP]
    B --> C{Project Detection}
    C --> D[SQLite Database]
    D --> E[Memory Storage]
    E --> F[AI Tool]
    F --> G[Perfect Context]

🔬 Under the Hood

• SQLite + FTS5: Lightning-fast full-text search
• Smart Scoring: Path matching + recency + importance
• Auto-detection: Git, package.json, or directory-based
• Secure: All data stays local, no external calls
• Lean: Only 4 core components, minimal memory footprint

📈 Performance

🗂️ Memory Structure

~/.kratos/                       # Default storage location
├── projects/
│   ├── project-id-1/
│   │   └── memories.db          # SQLite database with FTS5
│   └── project-id-2/
│       └── memories.db
└── global/
    └── global.db                # Shared knowledge (optional)

New in v1.6.1: Use change_storage_path to move data to custom locations like /opt/kratos or .kratos for per-project storage.

💡 Example Usage

// Save a memory
await memory_save({
  summary: "JWT auth implementation",
  text: "We use httpOnly cookies with refresh tokens...",
  tags: ["auth", "security"],
  paths: ["src/middleware/auth.ts"],
  importance: 5
});

// Search memories
await memory_search({
  q: "authentication",
  k: 5,
  debug: true  // Get search insights
});

// Ask natural language questions
await memory_ask({
  question: "How does our auth system work?",
  limit: 10
});

// Change storage location
await change_storage_path({
  newPath: "/opt/kratos",
  migrate: true,
  backup: true
});

🎮 Live Demo

// User: "Explain the auth system"
//
// Kratos automatically retrieves:
// ✓ JWT implementation from 2 weeks ago
// ✓ Middleware configuration from last month
// ✓ User model structure from initial setup
//
// AI Response: "Your auth uses JWT with refresh tokens
// stored in httpOnly cookies. The middleware validates
// tokens on protected routes at /api/middleware/auth.ts:42..."

🤝 Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

# Clone the repo
git clone https://github.com/ceorkm/kratos-mcp.git

# Install dependencies
npm install

# Build
npm run build

# Run in development
npm run dev

📄 License

MIT © 2025 Kratos MCP Contributors

🙏 Acknowledgments

Built on the Model Context Protocol by Anthropic.

Inspired by real-world experience building production apps with AI.

Built for developers who value their time.

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