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

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

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

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

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1. Clone and install:
`bash
git clone https://github.com/SecKatie/falkordb-mcpserver.git
cd falkordb-mcpserver
npm install
`

2. Configure environment:
`bash
cp .env.example .env
`

Edit .env:
`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:
`bash
npm run build
`

🤖 Claude Desktop Integration

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

`json
{
"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:

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

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`
"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"
`

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

🛠️ Development

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`bash


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
`

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`
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

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For cloud-hosted FalkorDB instances:

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

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You can run multiple MCP servers for different FalkorDB instances:

`json
{
"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:

`cypher
// 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.

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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

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Made with ❤️ by the FalkorDB team & Katie Mulliken