MCP Neo4j Server

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

<a href="https://glama.ai/mcp/servers/qjpsxn4zlh"><img width="380" height="200" src="https://glama.ai/mcp/servers/qjpsxn4zlh/badge" alt="Neo4j Server MCP server" /></a>

Quick Start

You can run this MCP server directly using npx:

npx @alanse/mcp-neo4j

Or add it to your Claude Desktop configuration:

{
  "mcpServers": {
    "neo4j": {
      "command": "npx",
      "args": ["@alanse/mcp-neo4j-server"],
      "env": {
        "NEO4J_URI": "bolt://localhost:7687",
        "NEO4J_USERNAME": "neo4j",
        "NEO4J_PASSWORD": "your-password"
      }
    }
  }
}

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:

npx -y @smithery/cli install @alanse/mcp-neo4j-server --client claude

For Development

1. Clone the repository:

git clone https://github.com/da-okazaki/mcp-neo4j-server.git
cd mcp-neo4j-server

2. Install dependencies:

npm install

3. Build the project:

npm run build

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:

User: "Show me all employees in the Sales department"

Claude: Let me query the database for Sales department employees.

[Executes query internally: MATCH (e:Employee)-[:WORKS_IN]->(d:Department {name: 'Sales'}) RETURN e.name, e.position]

Result:
- John Smith (Sales Manager)
- Sarah Johnson (Sales Representative)
- Mike Brown (Account Executive)

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:

User: "Add a new person named John Doe who is 30 years old"

Claude: I'll create a new Person node with the provided information.

[Creates node internally with label 'Person' and properties {name: 'John Doe', age: 30}]

Result: Created new person node with ID: 123

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:

User: "Make John Doe friends with Jane Smith"

Claude: I'll create a friendship relationship between these two people.

[Creates relationship internally: MATCH (a:Person {name: 'John Doe'}), (b:Person {name: 'Jane Smith'})
CREATE (a)-[:FRIENDS_WITH {since: '2024-01-05'}]->(b)]

Result: Created friendship relationship between John Doe and Jane Smith

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:

User: "Find all products purchased by customers who live in New York"

Claude: I'll query the database for this information.

[Executes query internally:
MATCH (c:Customer {city: 'New York'})-[:PURCHASED]->(p:Product)
RETURN c.name, collect(p.name) as products]

Result:
- Alice Wilson: [Premium Coffee, Tea Set, Cookies]
- Bob Miller: [Premium Coffee, Water Bottle]

Testing

Run the test suite:

npm test

License

MIT