PluginBench
MCP Server
Maintained
MIT

io.github.neo4j-contrib/mcp-neo4j-aura-manager MCP Server

io.github.neo4j-contrib/mcp-neo4j-aura-manager

Manage Neo4j Aura database instances via natural language through Claude and other MCP clients.

What is the io.github.neo4j-contrib/mcp-neo4j-aura-manager MCP server?

The Neo4j Aura Manager MCP server enables you to manage your Neo4j Aura cloud database instances directly from AI assistants like Claude. It provides tools to create, destroy, list, scale, and configure Aura instances using natural language commands.

This server connects your AI assistant to the Neo4j Aura cloud service API, letting you perform administrative tasks on your database instances without leaving your chat interface. You can create new instances, manage scaling, enable features, and query instance details—all through conversational commands.

How to install io.github.neo4j-contrib/mcp-neo4j-aura-manager

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
Environment / auth
  • NEO4J_AURA_CLIENT_ID
    required
    secret

    Neo4j Aura API Client ID

  • NEO4J_AURA_CLIENT_SECRET
    required
    secret

    Neo4j Aura API Client Secret

  • NEO4J_NAMESPACE

    Namespace for tools

~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp-neo4j-aura-manager": {
      "command": "uvx",
      "args": [
        "mcp-neo4j-aura-manager"
      ],
      "env": {
        "NEO4J_AURA_CLIENT_ID": "<YOUR_NEO4J_AURA_CLIENT_ID>",
        "NEO4J_AURA_CLIENT_SECRET": "<YOUR_NEO4J_AURA_CLIENT_SECRET>",
        "NEO4J_NAMESPACE": "<YOUR_NEO4J_NAMESPACE>"
      }
    }
  }
}

Tools & capabilities

Tools this server exposes to the agent.

  • List instances — Retrieve a list of your Neo4j Aura instances
  • Create instance — Create a new Neo4j Aura instance with specified configuration (name, tier, storage, features)
  • Delete instance — Destroy a Neo4j Aura instance
  • Scale instance — Adjust the size and resources of an existing instance
  • Enable features — Enable optional features like Graph Data Science on instances
  • Find instance by name — Search for and retrieve details of a specific instance

Use cases

  • Create a new Aura Professional instance with 4GB storage and Graph Data Science enabled
  • List all your current Neo4j Aura instances and their configurations
  • Scale an existing instance up or down to adjust resources
  • Delete instances you no longer need
  • Enable Graph Data Science or other features on running instances

io.github.neo4j-contrib/mcp-neo4j-aura-manager MCP server FAQ

What is the Neo4j Aura Manager MCP server?

It's an MCP server that connects your AI assistant to Neo4j Aura's cloud management API, allowing you to create, manage, and configure database instances through natural language.

Is this server free to use?

The server itself is free and open-source (MIT License), but you need a Neo4j Aura account and will be charged for the cloud instances you create and run.

How do I install this in Claude Desktop or Cursor?

Install via PyPI using `pip install mcp-neo4j-aura-manager`, then configure it in your MCP client's settings to connect to your Neo4j Aura account.

What authentication is required?

You need valid Neo4j Aura credentials (typically an API token or account credentials) to authenticate and manage your instances.

Is this the official Neo4j MCP server?

No, this is part of Neo4j Labs and is maintained by the Field GenAI team. The official product MCP server is available separately at https://github.com/neo4j/mcp.

What transport modes does it support?

The server supports STDIO (default for local use), SSE, and HTTP modes for cloud deployments on AWS ECS Fargate and Azure Container Apps.

README (reference)

Source of truth, from the repository.

Neo4j Labs MCP Servers

Neo4j Labs

These MCP servers are a part of the Neo4j Labs program. They are developed and maintained by the Neo4j Field GenAI team and welcome contributions from the larger developer community. These servers are frequently updated with new and experimental features, but are not supported by the Neo4j product team.

They are actively developed and maintained, but we don’t provide any SLAs or guarantees around backwards compatibility and deprecation.

If you are looking for the official product Neo4j MCP server please find it here.

Overview

Model Context Protocol (MCP) is a standardized protocol for managing context between large language models (LLMs) and external systems.

This lets you use Claude Desktop, or any other MCP Client (VS Code, Cursor, Windsurf, Gemini CLI), to use natural language to accomplish things with Neo4j and your Aura account, e.g.:

  • What is in this graph?
  • Render a chart from the top products sold by frequency, total and average volume
  • List my instances
  • Create a new instance named mcp-test for Aura Professional with 4GB and Graph Data Science enabled
  • Store the fact that I worked on the Neo4j MCP Servers today with Andreas and Oskar

Servers

mcp-neo4j-cypher - natural language to Cypher queries

Details in Readme

Get database schema for a configured database and execute generated read and write Cypher queries on that database.

Requirement: Requires the APOC plugin to be installed and enabled on the Neo4j instance for schema inspection.

mcp-neo4j-memory - knowledge graph memory stored in Neo4j

Details in Readme

Store and retrieve entities and relationships from your personal knowledge graph in a local or remote Neo4j instance. Access that information over different sessions, conversations, clients.

mcp-neo4j-cloud-aura-api - Neo4j Aura cloud service management API

Details in Readme

Manage your Neo4j Aura instances directly from the comfort of your AI assistant chat.

Create and destroy instances, find instances by name, scale them up and down and enable features.

mcp-neo4j-data-modeling - interactive graph data modeling and visualization

Details in Readme

Create, validate, and visualize Neo4j graph data models. Allows for model import/export from Arrows.app.

Transport Modes

All servers support multiple transport modes:

  • STDIO (default): Standard input/output for local tools and Claude Desktop integration
  • SSE: Server-Sent Events for web-based deployments
  • HTTP: Streamable HTTP for modern web deployments and microservices

HTTP Transport Configuration

To run a server in HTTP mode, use the --transport http flag:

# Basic HTTP mode
mcp-neo4j-cypher --transport http

# Custom HTTP configuration
mcp-neo4j-cypher --transport http --host 127.0.0.1 --port 8080 --path /api/mcp/

Environment variables are also supported:

export NEO4J_TRANSPORT=http
export NEO4J_MCP_SERVER_HOST=127.0.0.1
export NEO4J_MCP_SERVER_PORT=8080
export NEO4J_MCP_SERVER_PATH=/api/mcp/
mcp-neo4j-cypher

Cloud Deployment

All servers in this repository are containerized and ready for cloud deployment on platforms like AWS ECS Fargate and Azure Container Apps. Each server supports HTTP transport mode specifically designed for scalable, production-ready deployments with auto-scaling and load balancing capabilities.

📋 Complete Cloud Deployment Guide →

The deployment guide covers:

  • AWS ECS Fargate: Step-by-step deployment with auto-scaling and Application Load Balancer
  • Azure Container Apps: Serverless container deployment with built-in scaling and traffic management
  • Configuration Best Practices: Security, monitoring, resource recommendations, and troubleshooting
  • Integration Examples: Connecting MCP clients to cloud-deployed servers

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Blog Posts

License

MIT License

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