FalkorDB MCP Server

🚀 Connect AI models to FalkorDB graph databases through the Model Context Protocol

FalkorDB MCP Server enables AI assistants like Claude to interact with FalkorDB graph databases using natural language. Query your graph data, create relationships, and manage your knowledge graph - all through conversational AI.

🎯 What is this?

This server implements the Model Context Protocol (MCP), allowing AI models to:

• Query graph databases using OpenCypher
• Create and manage nodes and relationships
• Store and retrieve key-value data
• List and explore multiple graphs
• Delete graphs when needed

🚀 Quick Start

Prerequisites

• Node.js 16+
• FalkorDB instance (running locally or remotely)
• Claude Desktop app (for AI integration)

Running from npm

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "falkordb": {
      "command": "npx",
      "args": [
        "-y",
        "falkordb-mcpserver@latest"
      ],
      "env": {
        "FALKORDB_HOST": "localhost",
        "FALKORDB_PORT": "6379",
        "FALKORDB_USERNAME": "",
        "FALKORDB_PASSWORD": ""
      }
    }
  }
}

Installation

1. Clone and install:

   git clone https://github.com/SecKatie/falkordb-mcpserver.git
   cd falkordb-mcpserver
   npm install

2. Configure environment:

   cp .env.example .env

   Edit .env:

   # Environment Configuration
   NODE_ENV=development
   
   # FalkorDB Configuration
   FALKORDB_HOST=localhost
   FALKORDB_PORT=6379
   FALKORDB_USERNAME=    # Optional
   FALKORDB_PASSWORD=    # Optional
   
   # Redis Configuration (for key-value operations)
   REDIS_URL=redis://localhost:6379
   REDIS_USERNAME=       # Optional
   REDIS_PASSWORD=       # Optional
   
   # Logging Configuration (optional)
   ENABLE_FILE_LOGGING=false

3. Build the project:

   npm run build

🤖 Claude Desktop Integration

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "falkordb": {
      "command": "node",
      "args": [
        "/absolute/path/to/falkordb-mcpserver/dist/index.js"
      ]
    }
  }
}

Restart Claude Desktop and you'll see the FalkorDB tools available!

📚 Available MCP Tools

Once connected, you can ask Claude to:

🔍 Query Graphs

"Show me all people who know each other"
"Find the shortest path between two nodes"
"What relationships does John have?"

📝 Manage Data

"Create a new person named Alice who knows Bob"
"Add a 'WORKS_AT' relationship between Alice and TechCorp"
"Store my API key in the database"

📊 Explore Structure

"List all available graphs"
"Show me the structure of the user_data graph"
"Delete the old_test graph"

🛠️ Development

Commands

# Development with hot-reload
npm run dev

# Development with TypeScript execution (faster startup)
npm run dev:ts

# Run tests
npm test

# Run tests in watch mode
npm run test:watch

# Run tests with coverage report
npm run test:coverage

# Lint code
npm run lint

# Lint and auto-fix issues
npm run lint:fix

# Build for production
npm run build

# Start production server
npm start

# Inspect MCP server with debugging tools
npm run inspect

# Clean build artifacts
npm run clean

# Full CI pipeline (test, lint, build)
npm run prepublish

Project Structure

src/
├── index.ts                   # MCP server entry point
├── services/                  # Core business logic
│   ├── falkordb.service.ts   # FalkorDB operations
│   ├── redis.service.ts      # Key-value operations
│   └── logger.service.ts     # Logging and MCP notifications
├── mcp/                      # MCP protocol implementations
│   ├── tools.ts             # MCP tool definitions
│   ├── resources.ts         # MCP resource definitions
│   └── prompts.ts           # MCP prompt definitions
├── errors/                   # Error handling framework
│   ├── AppError.ts          # Custom error classes
│   └── ErrorHandler.ts      # Global error handling
├── config/                   # Configuration management
│   └── index.ts             # Environment configuration
├── models/                   # TypeScript type definitions
│   ├── mcp.types.ts         # MCP protocol types
│   └── mcp-client-config.ts # Configuration models
└── utils/                    # Utility functions
    └── connection-parser.ts  # Connection string parsing

🔧 Advanced Configuration

Using with Remote FalkorDB

For cloud-hosted FalkorDB instances:

FALKORDB_HOST=your-instance.falkordb.com
FALKORDB_PORT=6379
FALKORDB_USERNAME=your-username
FALKORDB_PASSWORD=your-secure-password

Running Multiple Instances

You can run multiple MCP servers for different FalkorDB instances:

{
  "mcpServers": {
    "falkordb-dev": {
      "command": "node",
      "args": ["path/to/server/dist/index.js"],
      "env": {
        "FALKORDB_HOST": "dev.falkordb.local"
      }
    },
    "falkordb-prod": {
      "command": "node", 
      "args": ["path/to/server/dist/index.js"],
      "env": {
        "FALKORDB_HOST": "prod.falkordb.com"
      }
    }
  }
}

📖 Example Usage

Here's what you can do once connected:

// Claude can help you write queries like:
MATCH (p:Person)-[:KNOWS]->(friend:Person)
WHERE p.name = 'Alice'
RETURN friend.name, friend.age

// Or create complex data structures:
CREATE (alice:Person {name: 'Alice', age: 30})
CREATE (bob:Person {name: 'Bob', age: 25})
CREATE (alice)-[:KNOWS {since: 2020}]->(bob)

// And even analyze your graph:
MATCH path = shortestPath((start:Person)-[*]-(end:Person))
WHERE start.name = 'Alice' AND end.name = 'Charlie'
RETURN path

🤝 Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

Development Workflow

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Built on the Model Context Protocol SDK
• Powered by FalkorDB
• Inspired by the growing MCP ecosystem

🔗 Resources

• FalkorDB Documentation
• MCP Specification
• OpenCypher Query Language

---

Made with ❤️ by the FalkorDB team & Katie Mulliken