MCP Neo4j Server
by da-okazaki
# MCP Neo4j Server
[](https://smithery.ai/server/@alanse/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:
```bash
npx @alanse/mcp-neo4j
```
Or add it to your Claude Desktop configuration:
```json
{
"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](https://smithery.ai/server/@alanse/mcp-neo4j-server):
```bash
npx -y @smithery/cli install @alanse/mcp-neo4j-server --client claude
```
### For Development
1. Clone the repository:
```bash
git clone https://github.com/da-okazaki/mcp-neo4j-server.git
cd mcp-neo4j-server
```
2. Install dependencies:
```bash
npm install
```
3. Build the project:
```bash
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:
```bash
npm test
```
## License
MIT