Mcp Neo4j Server

What is Mcp Neo4j Server about?

Mcp Neo4j Server provides tools that let users interact with a Neo4j database through Claude Desktop. Natural language prompts are translated into Cypher queries, node creations, and relationship definitions, returning structured results.

How to use Mcp Neo4j Server?

1. Run via npx:

   npx @alanse/mcp-neo4j
   

2. Add to 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",
           "NEO4J_DATABASE": "neo4j"
         }
       }
     }
   }
   

3. Set the required environment variables (URI, username, password, optional database name).
4. Interact with Claude Desktop using natural language statements; the server handles the translation to Cypher.

Key features of Mcp Neo4j Server

• Neo4j Enterprise support – connect to specific databases via NEO4J_DATABASE.
• execute_query tool – run any Cypher (READ, CREATE, UPDATE, DELETE) with parameter safety.
• create_node tool – add nodes with labels and properties, returns internal ID.
• create_relationship tool – link existing nodes, define relationship type, direction, and properties.
• Built‑in safety – parameterized queries prevent injection attacks.
• Easy installation – one‑line npx command or Smithery CLI.

Use cases of Mcp Neo4j Server

• Data exploration – ask questions like “Show me all employees in the Sales department” and receive query results.
• Rapid prototyping – create nodes and relationships on the fly without writing Cypher manually.
• Enterprise reporting – generate aggregated insights such as “average age of employees per department”.
• Customer analytics – query purchase patterns, e.g., “Find all products purchased by customers in New York”.
• Knowledge graph management – maintain and expand graph structures via conversational commands.

FAQ from the Mcp Neo4j Server

• What environment variables are required?
  • NEO4J_URI (default bolt://localhost:7687)
  • NEO4J_USERNAME (default neo4j)
  • NEO4J_PASSWORD (must be provided)
  • NEO4J_DATABASE (optional, defaults to neo4j)
• Can I target a specific Neo4j Enterprise database? Yes, set NEO4J_DATABASE to the desired database name.
• How do I prevent Cypher injection? Use the execute_query tool with parameter binding; the server handles sanitization.
• Is there a test suite? Run npm test after installation to execute the provided tests.
• How do I install via Smithery? Run npx -y @smithery/cli install @alanse/mcp-neo4j-server --client claude.

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:

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",
        "NEO4J_DATABASE": "neo4j"
      }
    }
  }
}

Features

This server provides tools for interacting with a Neo4j database:

Neo4j Enterprise Support

This server now supports connecting to specific databases in Neo4j Enterprise Edition. By default, it connects to the "neo4j" database, but you can specify a different database using the NEO4J_DATABASE environment variable.

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)
• NEO4J_DATABASE: Neo4j database name (default: neo4j) - Use this to connect to a specific database in Neo4j Enterprise

Usage Examples

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

Connecting to a Specific Database

For Neo4j Enterprise users with multiple databases, you can specify which database to connect to:

{
  "env": {
    "NEO4J_URI": "bolt://localhost:7687",
    "NEO4J_USERNAME": "neo4j",
    "NEO4J_PASSWORD": "your-password",
    "NEO4J_DATABASE": "myCustomDatabase"
  }
}

This will connect to "myCustomDatabase" instead of the default "neo4j" database.

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