MCP Neo4j Server

MCP Neo4j Server

An MCP server that provides integration between Neo4j graph database and Claude Desktop, enabling graph database operations through natural language interactions.

Quick Start

You can run this MCP server directly using npx:

Or add it to your Claude Desktop configuration:

Features

This server provides tools for interacting with a Neo4j database:

Tools

• execute_query: Execute Cypher queries on the Neo4j database
  • Supports all types of Cypher queries (READ, CREATE, UPDATE, DELETE)
  • Returns query results in a structured format
  • Parameters can be passed to prevent injection attacks
• create_node: Create a new node in the graph database
  • Specify node labels and properties
  • Returns the created node with its internal ID
  • Supports all Neo4j data types for properties
• create_relationship: Create a relationship between two existing nodes
  • Define relationship type and direction
  • Add properties to relationships
  • Requires node IDs for source and target nodes

Installation

Installing via Smithery

To install MCP Neo4j Server for Claude Desktop automatically via Smithery:

For Development

1. Clone the repository:

2. Install dependencies:

3. Build the project:

Configuration

The server requires the following environment variables:

• NEO4J_URI: Neo4j database URI (default: bolt://localhost:7687)
• NEO4J_USERNAME: Neo4j username (default: neo4j)
• NEO4J_PASSWORD: Neo4j password (required)

Usage Examples

Here are examples of how you can interact with the Neo4j database using natural language:

Querying Data

You can ask questions like:

• "Show me all employees in the Sales department"
• "Find the top 5 oldest customers"
• "Who has purchased more than 3 products in the last month?"

Example:

Creating Data

You can give instructions like:

• "Add a new person named John Doe who is 30 years old"
• "Create a product called 'Premium Coffee' with price $24.99"
• "Add a new department called 'Research & Development'"

Example:

Creating Relationships

You can request relationships like:

• "Make John Doe friends with Jane Smith"
• "Set Product A as a component of Product B"
• "Assign John Doe to the Sales department"

Example:

Complex Operations

You can perform more complex operations with natural language:

• "Find all products purchased by customers who live in New York"
• "Show me friends of friends of John Doe"
• "Calculate the average age of employees in each department"

Example:

Testing

Run the test suite:

License

MIT