ceorkm/kratos-mcp
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Kratos MCP is a memory system designed for AI coding tools, ensuring that AI retains project-specific knowledge across sessions.
🏛️ 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 IsolationEach project gets its own SQLite database. No cross-contamination. Ever. |
⚡ Zero ConfigurationAuto-detects projects via git, package.json, or directory structure. Just install and code. |
🪶 Ultra-Lean ArchitectureJust 12 essential tools. 64% smaller context footprint than competitors. |
🌍 Universal ProtocolWorks 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
Claude Desktop
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": []
}
}
}
Claude Code (Anthropic's VSCode Extension)
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.
Cursor
Add to .cursor/mcp_config.json in your project root:
{
"mcpServers": {
"kratos": {
"command": "npx",
"args": ["--yes", "kratos-mcp@latest"]
}
}
}
Other MCP Tools
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)
| Tool | Description |
|---|---|
memory_save | Store important project knowledge with tags, paths, and importance levels |
memory_search | Smart semantic search with debug mode and path matching |
memory_ask | Natural language queries about your memories |
memory_get_recent | Get recently created memories with filtering |
memory_get | Retrieve a specific memory by ID |
memory_get_multiple | Bulk retrieve multiple memories |
memory_forget | Delete a memory by ID |
🔒 Security (1 tool)
| Tool | Description |
|---|---|
security_scan | Scan text for PII and secrets before saving |
📁 Project Management (3 tools)
| Tool | Description |
|---|---|
project_switch | Switch between different projects |
project_current | Get current active project info |
change_storage_path | Dynamically change storage location with automatic data migration |
⚙️ System (1 tool)
| Tool | Description |
|---|---|
system_status | Get system status and memory statistics |
📊 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
| Metric | Value |
|---|---|
| Context Overhead | 64% smaller than v3 |
| Memory Retrieval | < 10ms |
| Project Switch | < 100ms |
| Storage Overhead | ~2MB per project |
🗂️ 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 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.